{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "    del X_train, y_train\n",
    "    del X_test, y_test\n",
    "    print('Clear previously loaded data.')\n",
    "except:\n",
    "    pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x720 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "plt.subplots(figsize=(10, 10))\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n",
      "CPU times: user 29.1 s, sys: 83 ms, total: 29.2 s\n",
      "Wall time: 29.2 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZTBiNRp48eSL7wOVykc1mOT09FVQrlUphNBo5OzvDZDKxt7dHOp0mn8+TSCTY2dnBYrHQarWIx+P09fVxdHTE2dkZAwMDZDIZxsfHWV9fx2638+zZM6rVqiSW6jtVhacQqWq1SrVaRaPRcHJywszMDLlcjkwmIwHr+PiYbrdLKpWi3W7j8Xg4Oztjc3OTbDaL2Wwmk8nw5MkTDAYDGxsb6HQ6qVojkQidTodUKkU6nZZgqva+qpCbzSalUon19XUqlQqbm5vo9XpSqRT1el0QHpfLRT6f5/j4GJ/Px+HhoSR5pVKJ3d1d8vk8+/v7AJLgJhIJOp0OGxsbAJKIlMtlzGYzsViMYrHIyckJJpOJVCpFNBqVPa9QicePH5NOpxkfH2dzcxOTycTY2Bh7e3vkcjnC4TDDw8Nsbm5KsO7r60Ov17Ozs0MqlSKTydBut+XsHhwc4PF4BPmpVqtMTk6yv78vQVAlJwo1aDabso/UeXz8+DF+v5++vj6i0SitVovBwUEKhYL8//DwkK2tLf76r/8as9nM+Pg4x8fHHB4eYrfb6fV6nJ2dkclkCAQCZDIZyuUy6XSaoaEh0uk0qVSK3d1dKTjL5TLxeJxms0mtVhP0OJfLyVk0Go0cHx8zPj4uRW08HqdcLuNyuTg6OsJqtbK7u8vx8TGlUknusdvtcnBwIAFXoTRq/xQKBVkXnU6H3W4nnU5jsVhkjXu9HolEglQqxf7+Pq1Wi0qlwsnJCaFQiEePHrG1tYVWqyUajeLxeHj+/Dnj4+OSrGQyGbLZLLFYjJGREZxOJ8ViEZfLRTqd5vDwkL6+Pgn6am1WV1d58uQJg4OD9PX18ejRI+x2O/l8nnQ6zf7+PrlcjvHxccLhMP39/ZyenpJIJMjlcrjdbmq1Gvl8nsHBQQ4ODshms5hMJiKRCIODg2xtbTE6Oko6nebo6Ai9Xk+lUiGZTAryGA6HabVabG9v4/P5AKRYPDk5ob+/H4vFwsnJCc1mk0gkgkajodlsMjo6yvb2NuFwGIPBgE6nY2xsjEgkQjqdlgIpEomQz+cluVYIaiQSweFwEIvF6Ha75PN5iZcK6CiVSjQaDTY2NjAajbhcLur1OhsbG2SzWQKBAJFIhEKhQKvVYmNjg9HRUfb390mn0+zu7gII0q38TCqVotlssrGxgclkkvU5ODiQ/V8qlQDY2NjAZrPh8/lIpVI0Gg3sdjtGo5FQKMT09DStVot6vU6j0SCXy+F0Onny5AnxeJy9vT3m5uYolUq0223xo79O6/v4449/7R/68ccfd//lv/yX+8D/CfwfwB/3er0/+x/9/L/6V//q47fffpt6vU6pVCKZTOJwOHj27BndbpdKpcL09DSRSIT+/n7K5bIsfDQapdFokEqlpL2nIFuPx8P+/j4Gg4FIJCJQeLVaJZ/PCxzrcrnI5XICnZdKJTQaDUajkWg0Kk5nc3MTn8/H9va2JHQqSSwWi6TTaUZHR9nZ2cFms3FwcEAikaC/v1+g5EePHrG8vEyn0yEWi1EulwUa7fV6tNttcrkcqVSKQCBAuVzGZDIJAtLr9cShxeNxer2etG+Us1LBHaBUKqHVaunv7ycejzM8PEy1WsVisQgCUywWMRgM7O/vS3tOOZtCoYDf76dardJsNnG73Wi1Wgk2IyMjkvDt7+9TKBSkXZnL5cjlcly6dEkSG+VEDg4OuHTpEqFQSCpuVel3u11BMEulEn19faRSKYHBK5WKOA+NRoPL5QIgHo8zMDBAqVQSaD0cDkurNh6PU6lUqFQqtFotJicnqVar1Go1EokEFotFri+VSmE2m8nn8xgMBmklPXjwQKqkeDyO2+0mmUxK8hEKhbBaraRSKRKJhHxeIpGgWCyi1WrJZDK4XC5JopTzVomZauk6nU6q1aq0L7LZLFNTU2xtbTE9Pc3GxoagLqr1k06nsdvtJJNJRkdH0el01Ot1CeaFQkG+WyGemUxGAtzx8TEej0cQ16OjIzQaDSMjIzSbTWl91+t1KWLsdjudTodsNkun05H92Ww2qVQqjI6OcnR0BCDtGIPBQD6fp9frEQ6HKZVKFItF6vU6sVhM0L9isSgt/83NTXq9Hna7nXA4TKPRkICnzo3H45FiQO3rk5MTstmsrIvRaESr1XJ8fEyj0cBkMsk5sdvt1Go1XC4X8XhcksFYLIbFYsHtdkvLTCWChUIBq9UKIAFerUuhUKC/v59EIiGt1mazKYmo3W6XZP3l5N9qtXJ4eEir1aLT6TA9PU2xWCQUCqHVagVFa7VaDA0NEYlEJAFVrSi73c7JyQlOp5ODgwOGh4cZHx+n2+0yNjbGycmJoDMKzVLtqEqlIollvV5Hp9NJm8xqtVKv1zk8PKRWq0nrW6PRUCgUMBgMDAwM4HK52NraIpVK0ev1iMViUhBGo1FGRkYoFotsbW1JS7BWq1GtVvH5fHQ6HUwmkyTXKtg7HA5JEpPJJCsrK1Js+/1+9Hq9PGu1LwqFAjabTfxFLpcjkUhIwl8ul/H5fFSrVYrFoiRrDocDs9lMr9eTv3O73QwNDUlCfnZ2hs/nk708MDDAzMwMiUSCeDwuxXalUhFEqlQqScFcrValzZ/JZKSV7ff7yeVyRCIRQf8rlQqBQICzszOhQqgWo9vtZnt7m1wuRz6fp6+vT/Z7PB5Hq9UKYnZyciLghbL+/n4qlYogRApJdbvdQnEIBoMSq5LJJC6Xi0KhIPeu1+txOByYTCYSiYRQElQ73+/3c3Jygt/vp91uk8lkqFar2O12njx5Qr1ex+12Uy6XJRZ1Oh0pGtrtNvl8XhJERf9JJBLSGSsUCmi1WjY3NyWhVi3Wer1OIBCg1+vRbDbJ5/OMjY2Jv08kErKuCwsLlEolib86nY58Ps9rr73G/v4+8Xg8/vHHH/+7X1fe9JtCxuj1en8B/MX/p4vQ6dBqtQKbu1wu7HY7U1NTWK1Wstksbrcbl8vF4OAguVyOVquFxWKRzdDf30+328XlclGpVDCZTPR6PYLBIL1ej+XlZQD52Ww2i8fjwWaziXOuVqv4/X7hitXrdQYGBiQYjo6O4vP5GBsbAxDH7PP5JGCpFqZK/BwOhwQ3gMXFRYLBIJlMRnr5LpcLi8WC1WqlWq0yMDCAx+PB6XTS6XQYGRmhVCpJouLz+chms8zMzNDtdslms4yOftUVVsHQZDIxMDCAxWKhVCoxOjoq66L4Dl6vV77TZDLh9Xqp1WrS1hwYGCCRSMjh6+/vl2RWr9czOjoqgV2n0wmny2azCYfFarXi8XgIBoMAUo0Fg0EGBgaoVCrCX1AoitVqlTal+rVCfdrtNm63m4mJCVwuF7VaDZ/PJwmkx+Oh1+vh8Xhwu90Ui0UsFovwI/R6vbRsnE4nR0dHgoKon7Hb7cLDUfwTg8GAXq9namqKarXKyMiItIxUYFRrqJ63Wn+9Xi9cMJvNhs1mQ6/XC+Q/NDQke1cleqqNop63qmSDwSDBYFBQVQW7K6RY7VPFW1QckGAwKKiBw+GQAFqv1wVx7Xa72O12hoeHqdVqVCoVXC6XVNblclnOq+Iheb1e8vk88/PzHBwc0N/fD3zFVVFVcCAQ4PHjx/h8PoxGIw6Hg0qlQi6Xk1aBan8mk0m8Xq+0THw+n5yz0dHRV/ieqpWvEAKVUPn9fmq1Gna7XQK72WwWJKK/v1/8hmr/j4yMSCAZHx9/JVlWqF9fXx9+v596vS4tYpUsqOtwu90UCgVZT71ej8lkYnBwEK/XSzabZXx8nHw+j8Vikf2gAr7L5WJoaAitVksymcTpdIqPqNfrBINBdDqd7En1XclkUtas1WoxOjoqSbDb7cbv9zM4OCjJm9VqFR6cxWJhcHAQgKmpKUFI2u22nC2j0YjX66XT6eB2uwX1VGieSpgNBgMulwuDwUAgEGBoaIi+vj4MBgP9/f10Oh3y+TwTExN4vV5MJhNTU1NyzjweD7VaTdajr6+PTqeD3+9Hq9WK/1JrUKlUGBwcJBaL4fP5BJVWaKTX68Xr9VIsFvF4PMKDHR0dFfRxaGgIvV6P1+uV4ml0dFT4aCrwu91uzGYz/f39tNttvF4vFosFu92O2+0WnuLY2Jh8nkJePR6PcAdV/EilUkJBUZwwjUbD8PCw7I2BgQEcDoe0gZWP6fV6UgCpgszpdArHTPkkVUADWK1W+bXy5er6FGVB8cHUXs5kMgwODgooMjAwIF0TxZHO5XJydgYHB4VDXSwWGRgYwGw2SwxRhbPT6SSVSjEyMiLnW9GIhoeHxY+Xy2WGhobQaDQ4nc5XOMLNZlPOpNVqFX9Rr9fpdrsMDg5itVplb3g8HinQ/H4/4XCYkZERhoeH6Xa7DAwMSLGnuhPJZJJgMCg+weFwYLPZGB0d5fHjx/+TWdH/s/1GkLH/WfvRj370sc/n48GDB/h8PgqFAouLi/zn//yfmZmZwWq1cnx8jEajEQRKp9MxODiIwWAgm80KeRW+OoiBQICDgwM55A8ePGB0dBSj0UgkEmFqaoqNjQ3JjuPxOMFgUNpt8Xicy5cvYzQaOTk54c6dO3z66acC9avkR3E+PB4Pjx8/5saNG/zyl7/k2rVrFItFnE4njx49El7O06dPOT4+JhqNCi/E6XRy//59wuEw169fZ3Nzk83NTcn4c7mcBIaLFy9yfHzM6OgoGxsbJBIJjEYj+XwegLm5OeFfVatV9vb2GBsbY2trSzL7brfL3t4eBoOBZDKJz+cThHFmZoZQKCRwtmr/Kjj66dOnOJ1OXC4Xjx8/plQq4ff7CQQCgmJ5PB729vZwOp0CMSvY3eVyUSwWpc0VCAQ4Pj6mUqmQzWa5du2atI/sdjuBQIAnT56QTqeZmpoSRC+dTguCWCgUKJfLOBwO4QHt7u5KcqNaufV6ndPTU3Q6HS6Xi9PTU8xmM1arlaOjI+GkxGIxQRdVxRyNRnn33Xf56U9/Kujs8+fPGRgYkGCk9mZ/fz9Op5OTkxMJmioxUM9JcXFGRkY4OjoS9MBoNLK3twfA3t4ed+7c4ejoCIPBwOnpKbFYjFAohMViQaPRCHqTSqU4OzvDbreTy+WoVCqk02n29vZk352engoHcGtrS8j0hUIBt9uN1+vl8PCQUCjE3t4eH3zwAXt7e2QyGeEieTweQRU8Hg9HR0dYLBa+/PJLFhYWCIfDwr1U3DqFYptMJj7//HNKpZKgYuoMK4QikUhIe0Yh20ajUXhm29vbFItFRkZGpO08NjYmhGhFOFZE71wuJyiJ3W6nUqmws7Mj61Qul5mbm+PnP/85LpeLTqfD559/TjabxWq1EgwGSaVSFItFlpaW+Iu/+Av6+vqIx+M4HA7hGj19+pRQKITRaCSXy2EwGPjyyy+F+J7P54Xf+POf/5zJyUlBIVQFb7Va0el0RCIRHj58iFarZWRkhF/96lf0ej38fj+bm5uC6CuU8+joiKWlJU5OTtjf3xcicrFY5PT0FKvVSqlUEiQvFArJOVWJ0YMHD7hx4wZ/9Vd/Je37gYEB8VPhcFiGV/b392VAwWQyCZFeJf+hUIh0Oo3NZiORSNDtdrly5QqHh4fE43Fp+ddqNa5evcrf/M3fCNpmsVh4+vSprHk0GqVSqcjePTs7kyEOFeS3t7eZnJzk4cOHNJtNisUit27dIp1OMzw8zC9+8QuWlpbY3NykWq0SDAalcDs4OJD23YsXL4QKEw6HaTabwsO7evUq6+vrlEol4vE4k5OT2O12Njc3hUivWuxHR0dyvk9PT5mdnWV7exun04nFYmF/f59oNMrAwICgYgsLC5ycnKDX64WeMzY2xq9+9Stphx8eHuLxeNjc3GR3d1cQ2NnZWZLJJDs7O5KUKDTo8PBQwI1SqUQ4HMbr9RIOh5mcnGR4eJhkMsmLFy84OTkBEHK9GiQ5OjqiVquRy+XEP5TLZQYHBwmHw4yOjlIqlXC5XKyvr6PT6Xjy5AnBYJBKpYLH4+Hp06eCjHo8HtLpNGazmefPnzM0NMS9e/f48ssvsVqtPH/+nHQ6zbVr19BqtTx8+FBamCpmZjIZjEYjo6OjbG5ukslkePbsGW63m8ePH3P16lWhM6nuhYqh1WqVeDwuwM3Ozg46nU6uz+/3Sx4xNTXF8+fP2drakqH5wFs5AAAgAElEQVTCcrms1vLXioz9vUjG/vAP//Dje/fuYbfbSaVSWCwWac8Ui0Wy2Sy3bt1iY2ODK1eucHJyIgeoWCzK4qjJG7/fL/3/nZ0dyehLpRLlclkOUSAQwGg0CrStqgxVOe/v7xOLfTV30Gq1KBQKTE1NSQutr6+PXC4nMKeaJFQ8oWg0ysnJCQsLC4yMjLC3t0e9XueNN95Ar9dTKpXIZDJCTrVYLITDYVwuF06nUyaeRkZGSCaTNBoN8vm8tPlUtQlgs9kwmUxEo1ESiQSxWIyZmRkMBgPHx8e8/vrrxGIxRkdHqdfrUu04HA7Ozs6wWq2Ew2HhViUSCe7du0csFmNsbEwQttXVVfL5PLVajXq9zuTkpKz/zs6OJLeKPGwwGLhx4wb5fJ5KpcLW1pZMpl66dIkvv/xSpmNUO09NwylCtt/vx2QyyfUp/k0wGMThcEjVnMlkWFhYkKpVDWMo5FW1ExRP44033iAcDr/Cu4pGozgcDlKpFENDQxSLRRqNhiSbZ2dnFAoFLl26RCKRAL6aTstms2g0Gkl2s9ksWq1WWj/RaFQmdnK5HMFgUKaADAYDnU5HKnwV5MfGxlhfX6fT6YjjeOONNwiFQkxOTnJwcCCJj8VioVarSdKbyWRYXV2lv7+f4+Njbt68SbfbJRaL4Xa7CQQCtNtt4Cu0eGBggFwuRzweZ3FxUQKxQqUXFxelDaoSQZU4KRL806dPGRsbI5lMkkwmBR29evUqn332mXzvwMAAOp1O2sahUIj+/n5pGZ+dneHxeNBqtTJsEQ6HqdVq+P1+Sa6y2axwwDQajSTgiuAdj8eFf6Zad5lMhvn5eRqNhiB9inDfbrcJBoP4/X5mZmbIZrOEw2GZIKtWqywvL0vlf3p6KlyqixcvCgKm+JDT09PodDpp/3g8HuHwqSlRhYJ3Oh0ikQgej4e1tTWcTif7+/uCXM7Pz4tvzGazXLx4kUKhQKPRYGVlhQcPHtBoNAQF8vv9jI2NEQqFcDqdRCIR5ubm8Hg89Pf3MzIywoMHD7BardLSOj09ZWZmhmq1yvDwMNlsFpvNRrlcZmRkRJ67SiTj8Tj1el18aiaT4fT0FK/Xy4ULF/D7/bx48UIGbfL5PB6PR/ijS0tLkpSp6T2VtAcCAUwmE0NDQ1gsFmn1KuQ6k8lQKpU4Pj7mgw8+EN7p9PQ0zWaTs7Mzjo+PBdF+9uwZMzMz2O12isWikO6Vr43H46ysrFCv10mn07zzzjsMDg7S39+P3+9nd3dXBsimp6ep1+sy2FGv11lYWKBSqRCJRHjzzTeFd1Wv17Farej1eorFIuFwmJs3b4rvLxaLVCoVyuWy0D8UwuR0OoUXOz4+jsPhoNPpMDs7i06nY3R0VFqnWq2WsbExCoWC8MRUu1EVJQpZU3s2Go0Kou/3+1ldXSWXy4kvdjgcHB4esrKyImjbysoKIyMj6HS6V7hZnU6H3d1dlpeX0ev1jI+Ps7e3RyAQIJVKSSE9ODhIKBRiaGhIuIeZTAb4KvkJh8NcvHgRs9lMKBSi1Wrh9/vRaDQEg0Hq9brwnU9PT8nn8/Lnap0VL0zRLxR532g0UiqVGBoaQqfTEY1GxXepeKn8faVS4c033+T+/fuMjY3R19cnE5o3btxgZ2fn196m/HuTjF24cIFMJiMk4StXrnBwcMDQ0BC9Xk+c0MDAAIVCAbvdzsjIiMD3CrpVbQKHw0Gz2cRut8v4vILMq9Wq8LHU4Vfj5grpUCRZtcFV8FVJlNVqxefzSUWgErOLFy8SCoW4ceOGTK6Uy2UajQZut1ugaDXqq2DcXC5Ho9FgcHBQJgYV50QFcZfL9UqrR/XjG40GPp8Ph8PByMiI/LmCeRUSpIiwagRbjRwrrlK9XhcHoL4/m80CkE6nCQQCMso9MTFBLBbD6XTicDiE5K4SRAU3q/VVrQ7lTCuVikDUx8fH2Gw2Op0OExMTwk9xOp2MjY1xdnZGp9ORylLxWhTfTfE11HqplonVaqVWq0k74eUxbDUFeXZ2RiAQoFgsEggE5DqVk1IJQLvd5vbt24RCIWmXHxwcYDKZpH2skLjBwUGRCfD5fEI+Vlwr1R5QU26K5Kra4wp+7/V6TE5OCpdJJaLxeJwLFy5I+6fVamGz2UQmRV2H1WqVxEZxFJ1Op1TJKqmt1+tcuHBBJA7U2Pjk5CT1el2kFRKJBD6fT9q8ChV5WVZFOXbFWVJBVhVEKplTI/4ulwu32y1FQj6fl6lGj8cjaKtqPSquTSAQwOVyyQSeKo7UZJ9qaalWiWpHqeevkhabzcb4+DhnZ2cYDAacTqdw33q9nvgVjUbDhQsXyGazMlWmWlblclkSfFX1q2tXHDTV9lbcPtUuVy3Wl9vhWq2WVCpFp9NhcnLylSRG8SSdTqdIJaghJdU2VBxBr9fLyckJHo9HpD0UP0q1KHu9HrOzsxweHjI1NUWz2RTel9lsFvqGQqpVEul2u1+RzVHPUbXH+vr6mJ6eJp1Oy8Syul91BsxmM1NTU4LwGY1GRkZGhA+oWuNK3sPv94v/UmiukvvRaDRUq1UajQa1Wo25uTk6nQ4rKysS/PP5PFqtltHRUaEuKHK5Glqw2WzSilIctnw+j9FoJJVKodFo5P5HR0cFLVbDLGpPKiSn0+lIN8NoNOLz+bDZbLJ2rVYLp9PJ8vIyp6enss6lUompqSlOTk4wGAyCaNtsNin2lOSP2t9nZ2dYLJZX2nmK66Xah8oXVSoVhoeHZT2LxSKA+FqLxSJnXdFDFPqs5F1cLtcrsUX9vtFoyB43Go3S1lWFtpIQ6na7FItFpqenee2114hEIuIblWSHStSVjFGn05F9qtrJ6te5XI7+/n6RyygWiywsLFAul4VSoehByv+pOAiIBJKiBjgcDrlWNTDWbrfl3B0eHv5ak7G/Fy8Kf1lvRyE8mUxGJjaUvofdbheUQ7Wo1AE5PT0VjRLFWVKfo7gVqt2nHIw6aArSNRgMNJtNUqmUVBKq6qhUKhQKBYrFojjuZDLJ2dmZtCXUyKwKXIrbpjaT0rxRQUchTCqxUpW6IvoqtEbpIFWrVSEkqsOvhh7UdEkikZDxa6VjpbhPqVRKiLBq8ksF5L6+PkwmEwaDQZyTGmlXHCHFE2g0GjLYkM1mSafTJJPJV8jmarxa8ZhOT08lkVLkcTXhpQJJrVaj2WzK+LoaadfpdGQyGcxms6x7sVgUgm46nSadTgt37fT0lFKpJEmDQmCcTqcERkVQ1+v1RCIRms2m8DdUpaYGLABBbFqtFsViUSBtVWmr1rBqlavqs1AoSHKvODVKmy2bzdLX1yfOuVgsSsKh0+kol8tUKhVJgNPptJDi1URqsVhEo9EQjUZfIQOr61Trp/5Tf1+v16WVYjAYZFJM8a6i0ahw3dR5UWcP/vvUoqqiFZlfTUYrsrHirKlA2Wq1ZOIWEB2/bDYr1e3Z2RnVahW32y1OWPEJDQaDJDoqKKkzqcj4SkYEvprAymazUtRUq1UKhYJMb8XjcQwGA5lMRvaeGiRQe7TRaIj/UNeo9vzLOlxarZZIJCL8NTVYZLfbheei1kKda5U8qAB6dnYmwU+h/uoe+/v7Za+qc6ckTVSCoqR26vW6IL5qula1hlUCrdqMmUxGNLReloxR8jNK70mRmNXEtQp6SjJAPQe19/b394VGoFqOiURCpkIV0qwSC9WOVMmcOk9KZ6pSqQjRWk3qvaxDpmKISmjVpKVqLankRJHGX9YYq1Qq4lOUjy6Xy/LMVRGjBoiULywWi6RSKeEeK7qMGmopl8vSIlM6fGpvqf2qKAVKG01Nf6dSKarVKuVymWq1SjabpVwui56bum81aa54Z/l8XvZuvV6XqXJA4oryAwpxVxxphdIXCgV5bmpoRyWYqoh9eTJWta1VEaNAAqW/p2SFisWiaIa9TKKvVCqCaKvfq66VaucDsq6qNa72q6KqqOtRSHckEsFsNsv9qS6L4orCf9cgM5lMQiNRiVqlUhE1h0KhIOCCigu/Tvt7gYz9m3/zbz7+/d//fQYGBojFYgQCAUKhEHNzc0KS/u3f/m2Ojo64d+8e2WxWCKvtdlvIt6panZmZEf2SaDSKVqtlaWmJRqOBy+WScd47d+7g9XpZXV3FarUK4XxtbY2pqSmOj49JpVIsLCyws7PD0tISly5dEvRE6bQsLy+TSqWYnZ0VvS8FjSaTSd5//33m5+f5/PPPCQQCfPDBB7hcLpkiBLh37x4ej4cXL15w6dIlAoEATqeTgYEBZmdnpbKNxWIsLS2Jpsro6Ch2u53Z2VnsdjuhUEgO+J07d/D5fORyOe7evSsTIn19fdy8eZNOp8P4+DjZbJb5+XkJIBcvXqRcLvO9732PYrHIysqK6Bq99957MlkWDAaZn58XJ1GpVKTtcefOHYGn33//fRlFTyQSzM3N0dfXx7vvvsuf//mfs7y8LM/l4OCA+fl5EeaMRqOsrq4yPDwsvIv5+Xl0Oh0rKytMTEwwPj6O2+0mlUrxta99DYDl5WX6+/splUr09/cLX3BsbEw4J1//+tdlulIRs2u1GpcuXZL2j5IduHnzJg8fPsTlcqHVauWeVCVVLBYJBoNYrVZBmFSbWHGnxsbGRErl9u3bgtgGg0FcLhczMzNoNBoWFhaYmppifn6ev/zLv2R4eJilpSXa7Tbf+ta3yOfzXL58WdpKirNnsVg4Ozvj0qVLaLVa3nzzTaampvjVr37F7/7u7wq0Pzk5yfLyMna7XfhsExMTJBIJ7HY7b7/9NlNTUzx79gytVsv09DRvvfWWoMqDg4PC21hbW8Pj8bC0tMTTp0+5efPmKwHMaDTyrW99ixcvXuBwOLh+/Tqjo6PybFRydOHCBUwmk6Aha2trOBwOlpeX8Xg8PHz4kOnpaYaHh6X1qs7h7u4uc3NzVKtVFhYW6HQ6DAwMSDuvXC4zPj4uqOPdu3dl8GZoaIijoyNu3bpFt9vl2rVrBINBGfiJRqPMz88LL/Ojjz7CbrfLNdRqNSYnJ7l9+zYOh4OpqSlp/9+6dQuPx0MgEJBWd7FY5PXXXwcQxGhkZESq79XVVd59913cbrckxJcuXWJtbU14k0pnTSXxv/Vbv8Uf/dEfEQwGWVpawuFwMD8/z9LSkrRgu90u169fZ3p6munpaRYXF3n48KG0Mq9du8bm5ibf+ta3MJlMMlAxMzODXq9naWmJQCCAz+fj4sWLUjAoNMTv94tUzuzsLNevX2dmZkakbVQLe3FxkXw+z+zsLLdv3+a//tf/ysWLF3E4HNjtdsxmM/Pz88zNzcn058jICGNjY+RyOSYnJxkZGRFtumq1yve//30+++wzVldXWV1dFV6W1Wql1+uxsLDAF198wXe/+10h5huNRra2trh165Zwnu7cuSMDAN/85jfFvw0NDfHixQsWFhZwOp289tprMqG/urqKzWbj+vXr0ur97ne/y9zcnExBms1m/H6/+IXvfve7IlLa19eHxWLh+PiYy5cv0+v1mJqa4sKFC0xOTgoqPzs7y+LiIr1ej7fffhuNRsP09DQWi4VUKiXPWxUTs7OzQopXQzaBQIDh4WG0Wq2Q01utFmtra1y4cIHLly/LQJRq0aqOgMlkYm5ujrW1NWZnZ7FarWxsbPDhhx+yt7fH1NQUkUiEu3fvCq3h6OiIxcVFisUid+/exWazsbq6yuHhITdv3qTZbDI7O0s+n5dzdnp6ygcffMDg4CBPnjyhv7+f+fl5vF4va2trNBoNHj58KPuoUqnw+uuvYzQaRdNxamqKvb09GYxLp9PMzMwINWRpaUnQYqWXViqVWFpakuLG5XLx/vvvc//+fW7fvo3X6yUYDGI0Gnn33XeJRCJsbW3979em/NGPfvTx+Pi4aP3E43GuXbvGs2fPXlHBVmR5xaMJBAIyDaj69YBUDkqHpNfrcXBwwNjYGJVKRcaqFRGxWq2yvb0tkGUqleLo6EimOiKRCG+99RYPHz6k0+lwenrK2dmZCNRZrVYKhQL7+/uyEWZnZwWKPzo6Ip1OY7VaOT09JZ1Oi67YxMQEFouFUChEKBSShDQUCskwgaoezs7OGB8fp16vY7fbiUQiJJNJGUNXoq0KPerr65Px83w+TzKZlNHdcDgsJOBut0s6nRbJhUwmw8HBAb1ej/X1ddrttgw7KF2p6elpnj9/zsnJCWazWfgxahRaESzVxNnx8TH5fF5aJ6lUSiqUw8NDNBoN6XRa2odqzH98fJytrS2ZslVE3/39fbrdLicnJyKHosbYlZaZquDVJI/Sh1OtOMVh83g8bGxsEAwGicViNBoN0Xh7mdR67949vvjiC+Hz/bf/9t9wu93U63XgK4Q3HA4LEqlQhXg8LgHk4OBAZDoUHyuZTMreVRyoer3O8+fP5RwEg0HW19ep1WpsbGyIVIoqTBKJBLVaTaaIs9ms6Hv5/X7i8biIKUYiEVqtlugIqalCp9PJ3t4ehUKB4+NjFhcX2draotVqEYvFJPlQwr1K005pNCkSvkKyCoWCoLexWIxkMinaP2rYQSEOairxyy+/5MKFC+zs7NDr9US+RbXynz59KkmJQkbUnlFiwGpKrdVqcXBwIGiyOicvI2nxeJyxsTG2t7c5/lu9rC+++EJ031TLPxQKsbS0xPPnz8lkMiJBMDExQSQS4ejoSDTQ9vf3yefzxGIxdDod+/v7HB0dkc/nRfOwVqsJSTwajYpenRLq/fTTT2k0GoyOjrK7uyuIo7oPhTwqFKW/v5+TkxMODg7kbQJnZ2fs7OwIsqeGCFKpFIAgQUtLS4TDYZaXl1lfXycWiwm6Ui6XRcdL+Vn1zFWrWaFoTqdTUPCTkxPsdrsMECwuLgpSvL+/Lwje/Py8DBe9/CwUcrm+vk6z2SQc/kpfU51j1VVQSKpOp+P58+cUi0U2Nze5evWqcN02NjZk0EIpwKs2aDQa5fT0VNa2WCyKjEw8Hicej4tG1ebmpmhQqSnFRCIh6NX9+/eFnhAKhXj69CmVSoWpqSnhrsJX6NTx3+pdqqniK1euCEcwnU4TjUYZHR3ls88+o1aryXNW5/X+/fviy9X9bG9vCwKrtBhVN0S1yxXXTiGFanpV7dHNzc1XJpaLxaIkS5VKhaOjIw4PD0VvC75CkRRKm8vlKBaLPHv2TPyAQp4/++wzAEGVTk9PhXenhoWq1aqgk0o1QD2fbrfL1tYWa2tr7O7u0mw2hU8di8VkoGF/fx+32y3DRC+3dZWm3cHBgayT0ilViKcaEFRt3Ww2y8OHD0UqRA1G/G9J4P/xj3/8sZpo+/rXv47P5+O3f/u3efLkCd/+9rfx+/385Cc/4caNG6yvrzMxMcHly5eZn59ncXFROAKjo6MsLi5SLpe5ffs26+vrXL9+nWvXrtFqtVhYWECv1+P3+7ly5Qqnp6cMDQ2J9MOFCxekr2wymXjvvfdYXl6mWCzyj//xP5aNOjQ0xM2bN0VAtd1u884775DNZvn93/999vb2+MEPfoBer2d+fp7NzU2Oj4/54Q9/SLfbJRKJMDw8zOzsLBMTE0xPT/P5558zODjIb/3Wb3F6eorT6WRubo7BwUH0ej3BYJCpqSneeecdSqUSr7/+Os1mE7/fz9zcHJVKhcXFRd58802Rktjb26PdbnPjxg2Ojo64evWqaOQkk0mmpqZoNBq89dZbwFdCmgoVWl1d5ZNPPuHq1at0Oh28Xi/vvPOOVM9Kz2V2dpa3336b27dvo9FoWFxc5NatW0LmVAHZ4XDw3nvvMTExIbpr29vb/OAHPyAej2M2mzGZTHzjG98glUrx+uuvMzAwwJ07d6QdeOfOHUwmE/V6Xbhxits2ODjI5cuXOTg44OrVq4TDYSYmJvD5fAQCAeFmKORLVcurq6ssLCxgt9v58MMPCQaDMpShxtCvXLlCPB7nhz/8IYVCgcnJSQ4PD5mbm2N1dRW/38/Vq1eFL/Lmm2+ytrZGMplkcnKSe/fuMTIyAoDD4eCNN97g8ePH3Llzh0AgQDgcxuFw0O12BZFQKNF3vvMdJiYm2NvbY2VlhYODA/x+P71ej0uXLqHX6xkbG5N1nZycFK0jhcj94Ac/4M///M+xWCx88MEHzMzMsLGxIaiuuubXXnsNs9nM1tYWLpeL73//+9jtdvx+v0zRKnSg1WrxxhtvCEG90+lw9+5dtra2ePvtt+WMXrx4kS+++IIbN27w1ltvSXKoEN67d+8SDAaF9zU0NMTKyorItTx48ACz2cwPf/hDkWBxOp3cvHmTa9eu0dfXx61bt2Q0v9frcffuXaxWK0tLS7hcLubm5mi329y7d08IxO+//75UxlevXiUWi/Hee+9xcHBAu92W9vHNmzcpFossLy/z4Ycf8pOf/EQ4nB988AG3bt0C4Pnz5xiNRqanpxkaGuLy5ctsb28zMDDA4OAg8/PzuN1u0cRSe1BRJ1ZWVlhbW8NisfDpp5+i1Wq5fPkygUCAWCxGrVYTNGFyclIkAtbW1viTP/kT/uAP/gCv10u32xVUTXGUFKJotVrlbQpOp5Pbt29js9n4xje+wcOHD3nvvff4xS9+gdvtFh5PtVpldHRUpBSU4O03v/lNbDYbXq+X8fFxpqencbvdLC0tSYunv79fNJ3+4T/8h0L4V88tHA7zz/7ZPyOTyTAyMsLq6irT09OS9KhnqnQf33zzTfFFw8PDLC8vEwgE+OKLL/jOd74jRZHX6+X73/8+iUSC999/n729Pd577z1J1i5dusTFixd5/fXXiUQignDFYjHxs8+ePcNgMLC9vU1fXx9vv/22cCPPzs64fv06KysrRKNRQVddLhe3b99ma2uLFy9e8N3vfheTycTXvvY1QUbn5ub45JNPCAaDQtKfmZkRhGl6ehq/30+5XBagYW5uTrohX/va1/hP/+k/yaCCz+fjo48+4sWLF5ydnXHlyhXm5+cFrYavCtrbt29jMBhwOBysrq5iNpu5ffu2oE2hUIher8fKyopwK6empnC73ayvr6M43VqtVgRsP/roIx49esR7771HtVplcXGRL7/8krGxMTKZDO+++y5Wq5XLly/zZ3/2Z1y+fJl0Os3Xv/51nj59yuLiIs1mk3feeYfvfOc73L9/n8uXL/PixQtKpRK/+7u/i8/no1KpyHDfa6+9JnHs4sWLvPHGGxK/FeqVyWT46KOPxK9NT08LCrmysoLVasXlcom8Sj6f5/r165Lc3759m16vx/b2Nt/4xjd4+vQpXq8Xt9uNyWRifX2dW7du8fnnn/9akzFNr9f7f/+p37D19/f3/sW/+Bei5q6IiLlcTrSkLl++TCgUYnx8nO3tbamcFTwZjUZlGkJpXvn9fn7+85+/8hoeRQpfX1+XCTmn0ym8ASUIqLgR6sHp9Xr59+qVO6oqUjpD2WxWJm60Wi2JRIJ6vc7y8rLwv54+fcqNGzdIJpNSbU5MTIjuidFolPF4lTyoySeVWCQSCXQ6nQhiqvVS/A81OTI0NESlUqFUKslrhVQAUEK1CsZdXFwUiYnJyUmy2SxXrlzh4cOHDA8Py5SJOhxbW1v4/X58Pp8kE4VCAa/XK4TRcDiMRqNhZWWFn/3sZ1y/fl0mcF68eMFbb73F/fv3cTqdQrLU6/WiPaUGJtQrRhRRXilAKyKtaleoZObFixfSujs5OSGZTGKz2RgaGpJWpNls5sqVK+zs7AivIBAICBFWiZaqIQyloaaqxdnZWY6OjggGg7Iv2+02R0dHDA0NCX9BOSklQTEwMCASFEpzaXJyUl4tUy6XcbvdeDweGbFXquDhcJjV1VXu37/PxMQEX375JYFAAL/fL6hDNBqV11utrKyIWO+VK1fY2Njg8PCQO3fucHx8LPIM6t13Cp1YXFwUWQDFB1GTgEpLSU1LKgFKJWyp1+tJp9My4aqm0VQ7Wg3AKPRRveJHafz09/ezvb2N0Wjkxo0bpNNpER+NRqOMjY1hMBh48uQJc3NzvHjxQgj2er1epHAePXrE0NAQw8PD3L9/H6PRKAnS4OAg1WpVBFHHxsbke0ZGRkQWQyG2ig/mcrmYnp6Wtxacnp4yMjIiAwaKRwhfITjDw8Pkcjnm5+dfkRRQ/D2FnDebTRFlLpfLfO1rXyORSPCzn/1MzrUS23zy5In4NjUs4vV6RfJCiVa7XC48Ho/IWCQSCfkMq9Uq08lqglchAFNTU8JDVIVOu91Gr9eTTCaxWq1CMFdCuqrddHh4SKVSeUUD8OnTp/JvstksTqcTm80mhYqajDMajVgsFiKRCGNjY4IaqfcDqunqYrHI/Py8SGYUi0Xee+897t+/L0MASspmZ2dHfPzR0RHLy8sSX9RbCJT+3osXL2QKuVKp8M4771AoFIRTlkql8Pv97O/vi1itQn0KhQJ3795lb2+P/f19rl69SiAQYH19nVQqJVN+qqW4trZGLBaT7sDL/KhQKITf75fEV3HSxsfH5V2LwWBQ3j6gpt3Vq8e2t7dFokh1BhwOh7x+7OX3gCqZiJefi0KylRCxel2e4iYvLCzQbDZFbHlhYYH19XVWV1fZ3t5mdnZWNP5Ut0FRMaLRqLwVY3BwUDizSj9RIZ5qIKPdbjM0NESj0ZBXMKk3CYyPj8tbY8bHx4nH45Lw5nI5BgYGBBVW8UQNWynutpqGV8NoSiZDDeVcu3ZN6BHhcFjI/FevXuWXv/wl//E//sfHvV7vyq8rD/p7gYz96Ec/+vi1117j9PRUNHWUYvrm5iaRSITl5WV+8pOfMDMzw6NHj8jn8zidTgBpLW1tbQkh/sGDB5hMJk5OTgQSVlN2SqNKkT+VmrbSMlPjyqenpySTSXK5nMhGDA4OEolEODk5kYpoYWGBn/3sZ0LWV9Vu5f/i7k2DGz/Pa88DgCTABSRAgACxEQDBBdzJbrI3dau1tlrWZluWdStKItck45mpuk4qmQ8pp1IVyRNXKpXJHU9VplJ1x8xpa4AAACAASURBVDcVjePEsRTLLTmSWrLULan3JtnsZjc3kARXgDvBDdxAYj60zgn73pvFU/6QCatcllpkE8D//3/f532ec35nY0P6qtzcXH2Pz+dTx2h7exuzs7MSJfNUSLEq43o4LmCE0+DgoAScXBQYlbG3t4fOzk4xkq5fv47y8nItYOz8kZRPgeLNmzc17uns7ERtbS1u3bqlNvTY2Jj4baFQSG1hAHKzMFrEarXKOs3OXU9Pj8YoXAi7uro0WlxfX8f6+rrsyPv7+w8UR729vRKkciMkbXl/fx+jo6MoLS3VWHt9fR337t2TYzUWiylmaW5uDlVVVbhx4wby8vIwMjKC7e1tsWr6+vrgdDoxNTWFkZER2O12cczW19fR3t6OmzdvYnp6Wpu/0WhEMplU5BKFoxMTE8q4i8ViuHPnjgodjsWp6aCTjI7ORCKhaKnZ2VmEQiFcunRJuXHZbFZFPeNKOLohVPfq1auoqKhAMpkUwJK2+MXFRUxOTsLv9yORSGBqakpBuXfv3sW9e/dEih8dHUU8HpcQuqurSyLa/f19vP/++6isrFSMltls1gJ9/fp1CbEZHM+EikQiIbZPV1eXDhNjY2Mau4yOjqrgJJNtZGQEAAR25ZhmaGgIHo8Ht27dUgzY9va2eEk8OOzv7yurklFJkUhE+BjGATHZgs49ui2npqaE3+HPBwIBdHd3a8zB55ubFx1l4+Pjgt6ur6+ju7sb3d3d0q9OTExIM2YwGFBeXo7PP/9cmxw79iMjI/B6vbh69aoSSKj9czqduHHjxgNrVyaT0ef1/vvvC1/B7L+ioiJl8/IzZ3HMz5qFKvEiHIESKcHnPxKJ6Brt7+8LkHzz5k3BjGnE2t/fV3QQ4+BoPKBphfmsjLJjTFVTUxOuX7+O3d1d2O129Pb2Ynl5WVgcFmOlpaUC2hIDwyKUzn1yxKjfzMnJwcrKCrq7uyXap8uPqR2ku/f392NqagrNzc1YW1vDtWvXsLKygoqKCkV5JRIJ1NfXKzoumUzqwENpAQXvLpdLzyQd9ISVx2IxoZ2Yy0rB/vj4uKQcFPQf3Je4p42OjsqByGt269YtJVAwuaGsrAwjIyOSZ/CaTE1NweVyYWtrC2NjYxgdHdUUYnV1VaxJTj6YeNDb2wun04lYLCbmZFlZGVZXVzE4OKi0CcpT2Hiw2Wzo7u6WVGZgYECfPaPFuFd89tlnSr/hvra3t4crV64gPz8fyWRS0WKM3OPv4Qi0qakJAwMDkg4xro78t0Qi8e/TTckigjRkOsG4qFAQTDwD5+FLS0tyUzBklYR0s9msCI90Oi3Rr8VikWOGDiS6NRlxxJY3N4Pd3V0A9x1tDBblayQAkydIOm6Wl5dlMeYp5GD2VSqVUpeEbj1GdrB7Q3YZ3TCBQEDuHDpzqAkj/DadTuvETeYWN1ASlhl5wgWGKAA6DEkg58iGnzvdOITBUo/CYpGB1/w9PM0mEgm4XC7lg9H5tLe3JyglMQ90q1KTwhMamVrcOGZmZh7QtQCQ5oBB1SxodnZ2hMJgSOzm5ibsdrs2Wo6g6Rycn5+Xq29zc1NRLgD00FPYzRBcirdzcnK00dBowgWlpKQEOzs7ctLRlcgxAD93bpw89VLwzg4aXX9ms1nFbCqVeiAyZHt7GyUlJTCZTCrEy8vLpT3iyZ8OPy5axMUQYcDfy7BcjujpDN3f39f9zWKfIyVa8GmGIJCYOArCTtfW1hSFQpAuUQg8KdONSowAOX3UsDBZgskRhAxvbGzA4XDoXiXEklEsvA5LS0vY3NyUe4/dUHZheFihu5ruMbp/eVrn6+GIneR4ajupl+T9y3HmwXia+fl5rK+vy/HNrj1wX29DhzKfTaZ8GAwG/dzOzo7cldRp0S3HDhv1NGtra9ja2tJ75jpElzljxOgwZwoK0UP8HWazGZlMBrOzs5iamlLXOplMKjeYhh86v4mwmJiYkGOP72drawuc4DDAmb+DDvr8/HwAkJuezz4PtltbWzp8zMzMaM3jtaN7ktosrvcrKytixPE5o5OX2rJUKiWXHScOBoNB6xYPW1arVZ9pJpORq5wMS+4/fL4OuuXz8vIwPz+vvWRvb++BnyMDbnl5WbpNJmwcvG+IcwGgMTP3KR4CmflKKDLxGJyO7O/vS7NHJyg7+dTPUW9Jhh1HvIwc5OjxYCYrndmMCCwpKVF8H93UNJI5nU51vOjC5/2yvb2NyspK8T4dDoeck16vV11Yvue9vT3te0zoIX5qd3dX+yo1ckSz/LK//k10xv74j//4NbvdjuvXr4sHc/bsWbz77rs4evQoLBaLIKfMoHQ6nWhoaIDL5dK4jRvhwsICKisrJc6uqKhAX18fGhoa1Cpm1cvMMQaWMqMxlUrh5MmTCAaDSCaT+NKXvoRPP/1UzDBSv1lEUGD93HPP4eLFi3j++eexubmJiooK9Pb2Ih6P49SpUxgcHJSIErjfIvV6vbhx4wYWFxdx4sQJ3L59G4ODgwh9EZsyMzOD/Px8aXzoEmOoNCG5NptNThHauvv7+1FVVYXBwUHF/FDYT85OKBRSgUMXUEFBgbpF6+vrmJqaUmpBMBhEaWkpuru7YTab4fP55D5jTE9fXx/cbreE+IuLiwJq8nS2u7uL1tZW5aRtbGzgscceU1gu9RQM0G1sbBTVm2OLZDKpUZLL5cLg4CAcDofe7+7ursbMq6uryopzu90YGRlBbm4uysvLMTc3JzcTcSm8tgyM/rVf+zV0dnbC6/ViYWEByWRSfDVq++bn51FbW6v37nA44PP54HA4ZGcnTNHhcMDj8SAWi2FmZga7u7soLCzE0NCQtIXUNlF8zq4s+W4Uc3Nz9Hq9et0bGxuIxWI4ceIEbty4gUQigZqaGuTm5qKvrw9bW1vqikQiEY0sBgcHMTw8jK985SvCvvAUW15erk3L7Xar2Lx9+zZaWlowMjKCYDAIh8Mht+bAwICibi5fvqyi0WKxoKGhAaWlpRpNrKysKN/14Ijx+PHjmJyclNg9EokoMePw4cPIyckRnLW0tFSuT44saDoxGo0YGBhAbW0tZmdnsbe3h8OHD+PGjRsIBAJYXl7G7du3Bb/kSAwAHn74YXz88cdYXV0VdDgajWJ1dRXXr1/H9PS0gKRutxu3bt0SeoBjeI/Hg8uXL0vfxmB1Rlzl5uYiHo+jv78f+fn5qKysVAg6swcJqabg/86dOzh16hQ2Nzc1QmVBwUBqblZbW1vo6elBQUEBQqEQNjY2cPz4cXz++ec4ffo0Lly4IFNT6ItYNJPJhMnJSXVfRkZGFDPH8S3jksrKyrCwsKDkAxYcZ86cUeeW9//6+rr0Qy6XS5zHW7duaY3kwWp0dFSZjsQoeDwe2Gw2ufkGBwfVXX/sscewtraGaDSKK1eu4KGHHkJPTw82NjbQ1NSEvLw8hEIhCdcJ+SbsdGJiQkamiYkJtLW1Scs0Pz+PaDQKj8eDqakpoV2YZhKPx9Uxp9xjfHxcwN3h4WEsLy8rf7O0tBQnT54UZyudTmNgYAB+vx+dnZ2K8mIWcE9PD2ZnZ9Hf34+CggK0tLSog89cUBY7k5OTsFqtCAQCWp/C4bDGtoTDdnV1IZFIIC8vTxmn7OzHYjEYjUYkEgksLCygv78fu7u7aGhoQCwWQ319PVKpFLxeL7q6umC1WmU64hixq6sLi4uLmgAkk0kUFRXh1q1baGpqwpe//GVcuXIFbrcb9+7dQzwex9mzZ7G3t4dYLIbFxUWNc7kHFhUVobGxUSPKe/fuyVh29OhRjIyMoLW1VcaCg2bAubk5ma/Y4SSuKRgMqlPb3NyM/v5+xebRoJCTk4N4PP7/j2zKX+SLOWaEBxI4eOjQIRQWFsJsNgt6SPHm8vKyujcU6G1ubiIcDmNqakr6DuC+aPrQoUO6+blwV1RUqPJOpVI6ibMTwXEN29tVVVXKNCPnhnFGLIQoqOepAwBqamrEwKqurlYWVzqdViZlbW2thK/V1dVwu92C8pHfZLVaJebn62ckyMLCArxerzYkl8uF3d1d1NXVwel0Kn+LHScCE1lIuFwutZVpM6euoKioCKWlpSguLkZ1dTXKy8tht9tRX18vBIHD4YDL5RIok7mVkUgE1dXV+p50Oq3OUFFREYxGo8LHyUbz+/3qDJFqTohlJpORyJ0jBGr+iIpobGzUSImvld0b3k8EVPLnIpGIEAA89e7t7YlP1tjYCLPZjGg0KmArdSC8niy4eOpi4DNHcBwpGwwGFBYWwu12P6AHoj6CsE9CXMvLyzEwMACPx6NOEyGoTqdTWBYWSiaTCTabTYUgf1cwGITVahUSgeBPjlKYt1hcXAyTyaQuU35+vrh0/AwSiYS6nHSJkTrPYqGsrExoBRau8/PzcDgcykm12WyC1iaTSeVk1tTUKE+VHe9gMKh7hV0NAjzZiWUXkGN7OmlzcnIEzOQ/h74Igy4pKUFbW5s+S7IOCdmsrq7Gzs4O3G43Wltbsbi4KECrzWZDZWWlugKkkxOlAkB5pQQUt7e3w+Vy6flj4QrczwzkJsCuR1VVFYLBoIwEB1M5CEk2mUzw+XwoKipSF728vFzkcka27e/vIz8/H36/X+BPYlUKCgrQ2NiIqakp4WJ4zfl6SSFnXiC1TXz2+M85OTmIRqPq7FDQT6dxU1OTcoBra2thsVhQWlqqDE2Xy/VA55r5gBaLBU6nUyw7ZvcSv0EeotFoVArH8ePHYbFY5PguLCyEw+FAUVGRUCQ0ARE6ymzfhYUFBcFzasNDk8FgQCAQEBfS4/FIk0eGGCOtyGUjIoLaLXbCqbNNp9OCzxLnYDAY0NzcjLy8PBQUFMgcVFVVpc+fEGQG1jPbkvcfM2yZWEKUDNcX3odkbuXn5yMcDqv4N5lMel7Y2c3NzYXL5RIuI51Oo6mpSfc7tYpcfwhot9lsQnawecAYqvLyco3uCbvlNSosLBQ6iAfH/Px8mclYJ1CbysQJrmPcQ5lXmslkpJ8kX/Ng4ks4HEZeXh7q6uq0LnD/oTb0l/n1b6Iz9md/9mevvfzyy6LsGwwG3Lt3D/n5+RrlnT17FhMTE4pD6unpwcjICEZGRgT6ZIRLaWkpkskkGhsb8cEHH6gNGY/HFWvAvLJ0Oq0FhIJKLvZdXV0SPl6+fFl05lgsJlI32WR0KFGb0NfXh9u3b2NsbAzHjx+Hx+PBnTt3kEgk8PDDDyvqp6+vDyaTCU1NTdjZ2ZGAk5shidHU6hCOOTo6CqPRiMLCQiwsLGih/eyzz0QJP3LkCCwWC2ZmZnDs2DH09PSgqqpKiAkWlcwvm5ubw/j4OCKRCNbW1vD0009jYmJCgau0wS8vL+Pq1asqam7evInPPvtMI4RYLIbm5mYMDAygpKQETU1Nyiy7ceMGwuEwJiYm8NRTT+HcuXMIh8MqgGgM4Bjw3r17in6ZmprS6Z5jDQbwMg6ptbUVvb29euCSySQmJiY0/qV4c3NzE2fPnsXY2BiGhoZgNBoVsUWCNiOgtra24HK5cOHCBWSzWcTjcbS0tOgky04dYZ+0UOfm5mJ0dBT5+flyZ9lsNkVvEEhJ0ThHEQw5Ly4uxk9+8hMUFxejqqpKEVKjo6Ooq6vD+++/r1QCk8mEVCqF4eFhNDQ0YHx8HFVVVcpGfemll7C+vo7Ozk5EIhFt2hsbG+qsdnZ2YnV1FUeOHIHBYEAsFtM4ub29Hel0WmJ6omNCoRAAwOfzoaenB16vF7du3VLXeH9/H21tbXj//fdRXFyMyspKpSVwjNXf34/9/X2YTCZ4PB5cvHhRTCR2Xa5fv47JyUlEo1HYbDZ89NFHsFgs6Onpwc2bN2V2CIfDytPjJv7BBx+oczMzM4OamhosLCwoRonC6PX1dY3SHQ4H4vG49FO06z/yyCPa0D/99FN1cVkkUW5gNpu1aDc1NSGRSCAcDuPWrVuorq5+IMiaI8x4PI5sNovnn38eBQUFuH79OqamphAMBhGJRABAGi0GeG9vb6O9vR0//vGPVSwRbunxeDAzMwODwYDh4WEEAgH9eXFxMbq6uuB2u3HlyhWUlJTg888/x8mTJyXNoNCaxhOO4SsqKjAyMiIj0e7uLvx+v0wh3EA3NjbQ3d2Nra0tdHZ2ypBFAHJ1dTXeeOMNlJSUSMN6584dNDY2PpBc4XK5kJOTI9wPi/u1tTUMDQ3h5Zdfxscff6wDRVFREYaGhrC+vi7d6nvvvYeHHnpI7MJkMimMitfrRTweR1VVlfRjL774ovI7mbUb+iKpob6+HsvLy5rkLC4u4syZM8hms7h06RJOnz6N5uZmxGIxrKysKKlje3sbExMTePrppzE3N4dkMqkR/q1bt1BTU4OBgQEdfHmgoMGooKAAs7OzaG9vV1eUI+xgMIhAIIA7d+5gcHAQXq9XozWLxYLPPvtMiR8cg1KOs7e3J0c2dVcAhH04cuSIIM3Nzc0oKytTnmVLSwsuXrwIr9eLzs5OHD9+HNvb2/D7/bhw4QKi0Sjm5uZw5MgRFXy3b99GMBjU6HZsbAx3796F2+3G+Pg4Ql8wATs7O9VRT6VSyoPu7OyUBnpwcBB1dXXKnmXW8NraGubm5rC4uKiagMHtoVBIUpu9vT0ZbKqrq6VH3d7exvHjx3H+/HnU19drrG02m/H444+ju7sbsVjs3x/a4o/+6I9e48NMHRC5OdwUs9ksent7BUbd2dlRzh27YtT+UEvAnEDqdZhLyLgPugop1meLmAwqPhDj4+M4dOiQ3I7Ly8tYX1+X+yUQCIhZVFVVpfEUb4zNzU2srq5Km8NW/+LioiKd+HDyZMcsShZ88/Pz2N7eRmlpqXQWPMVwRMVIH5PJJO7T9PS0+EBkMFHQyZY0HUHMGqQo1Gw2o7u7WxmP1BbEYjFEo1HpQYqLixGNRqWdoM6Hurny8nKJfC0Wi5ytLHooeM9kMrDb7QqS3t3dlSOMnbPCwkLs7Owo9YCCYRYWBM9ydE3mDD83FlcURlNPxoib+fl5XS+OSRgP0tzcjFu3bsnByKB0dkWo4aBDCIDisLgQkOFEi3xZWZm0QYxz4n+fn5+H2+3G5OQkSkpK0N/fD4fDgd7eXkV4cCQ1OzsryjxZTHt7e+K8kRXGBALqLNbW1jA9PS2NBblEGxsbcLlc6OnpQU5OjlhDZCxRh8PPn/oq6mR4ep6cnITNZtMIhSHsq6urer0E+e7u7uLOnTuora2VdpA6QpPJpOgsitFpBuCIj3TvmZmZBxzSBQUFyGQyyqsjIdxkMul60UXndrtVgHEUyHD0cDgsrhup9T6f74HcVZvNhomJCT1vFDovLCzoUMDry0KBgmo6MNPpNG7fvi2uIO9/spaYL8pEBt4Hy8vLum+ZCNLf369YqIOaTB4U1tbWBKNlfNHExITuo/n5+f+G38hxE/We09PTmJ2dhdls1u9fW1uDw+HQPRuNRqX7isVi6jqGw2FMT0+Lbk6HJanrB6UIjI06yNHiIYtB3bm5uejv75e73e12K2ScxHhOG5xOp/h5ExMTMBqNuh+A++67ZDKJkZERZLNZDA4OSq8JQMYvZgh3dnZK1zo5OYnx8XEsLCxoJA7cL3CIcSopKcHc3BzGxsZQV1en8TDft9Vq1TiXaxo7aT09PUot4WdDPpbJZJL5hGNdu92uNYr6U6IcjEaj9hvKgTgxmJubEz+S/59KpbTWklzAe4qdUHL4mKKTyWQwPT0t2YvVahWLL51O44knntC+Su1WSUkJtre3MTIyIvbZ6OioWJPMtCV0nBImhslTQgFA+wnTW+bn56WpZUFLDSAPnGwKMD2C42uDwYCRkRFMTk7++xPwEz7KSAiTyYRwOKyCi/PcsrIyzMzMyDJfWloqzhfhkRytORwO6VKYyUbaOC3s3JBYCBx0Sy0vLyts12azSSNB4bHdbgcAWfXZgmWXgWMKdqCSyaRGhTwRcXTH7hZ1a4wAAf5RUE3aNccFfr9fYE0KdI1Go/RJ5eXlEhmzG0RxJl05vBHpHrXZbGpD22w2RcrwQXW5XBoBc7GnsN5ms6lVTtsyx34sQFgUHQSTVlVVSQBMvRA7SEQncGPz+/0SW7OjsbKyorggl8ulWCSKX4uKipT/x3vDYrFIe0ZXFyniLBwpfuUokq+NNnUu7Ha7Hfn5+RKJcrTIMU5+fj6cTqdQD9zc6chjHBBPqkSqUCsYDod1z9rtdkxMTGB/f18dvIOZcSxsuOmlUinMz8/DbrfrGjDfb25uTp0rdhYPauuWl5fhdrvFrpqbm5P+DoBa/vxdbO9To1RaWoqSkhI4HA7Mzc3JOs9oGp40PR4PnE6nXM2FhYUqftjVzWazCAaDygrkCdvn88FsNuu5stvt6n4yp5amA5PJBJfLpdFTQUGBMkBpq2f3YnFxEaOjo+qIMi7M4/HogMjc0fLycsWfEblSWFiosHkWSwfHpsSCAHgg6JnONAJyCwoKkJ+fr1ieoqIiZZgCUI7hxMQEKisrtcHxfiIaghsrN6GlpSVMT0/D5/MhJydHLkK32y3tIp8TjrwJCqUphZBgZvgR/+LxeFTwbW1tKRPR7/frUMC1c2ZmBm63W+skXeE8jK2srAiDwrH4QXK92+2WW4/wUr5+dpcY0k6DDUfieXl5MuvwvubP8tAwNTUl5x5HaXt7e8pxdLvdSvNg19hqtSKZTArzwpHjwYMDu5t0Kft8PoTD4QfidljcLC4uKjuYUT3T09M6QHIMygO4wWCAw+HQSJOic4fDIUMbJy4ej0e4n+XlZUxMTChPkpmjVqtViCbq4gjkJa+Sko2ysjI1QJjlmJeXp32bbmI6J2mcIDWfph06jV0ul3SHPNgbjUaEw2Hk5+cjFArB5/Pp+WQXcHNzU3UDMzb5HHB95BiZn3VBQYEyN5nPzMMw70ceRg4+v7/Mr38TmrH9/X09wHRoMEmdNyI5JbSZ03WSn58vN5DBYJCQH4DoxuTHmM1mPTQcE9I1xA2C9Hhu5IWFhTpRT01NIScnR6J0AIofysvLU6eIeZWssre2tsQlGh0dRU1NjU5B1P9wgR8fH8fk5KROXzztxONxYR/ooqNVmILC0tJSifqnpqbgcDh0AggGgwIUshNDVw/RCAczHeneOphHxy4iGWrkPiWTSWEd0um00B38e/j/PPHQkEHuDQ0DKysrGB8f12sjdyyTySCZTOozT6VSGB8fF/OMGYZ0XfF6zc3NIZFI/DebFAsg4hxojY5EIuoeUeORSCQQiURgsVj0WVLvxMQCbnYkvhMtQbceFyk69ba3txVKzc2R14unYi788XhcomGeqokYYdeObkQS+UtKSjA5OSnMBDvAzC2ldm95eVm6OyIxJicnUVpaqviqtbU1aUvYfQOgZIOcnBw5VVnAFBcXA4Du+/z8fBlGOALh/c9TPAst5kZOTk6qU8mFdmpqSuO96elpWCwWTE1NIZPJYGFhQQW/w+GQm5EZn8lkEi0tLXL8suDKy8vTM8/Fmg7n5eVlmSRIu+fhjbE5LGBYRKysrCAej8Pv9z/Q7U0mkxr1p1Ip9PX1aVPY3NyEyWRSN54FMMcoLGxmZmaUAet2ux/IoJ2ZmdGIiZs2AZ3EcLAgMRgMSoYgnZwgT453mPW4vb39AHOKejAAWn+4wXMsRhYdUwYsFgsSiYR+H400zEBl14EsMx5KgPvdJ67PXLe3t7flluUYmOseKel0tlJHOTo6Kmclx+QTExPqpDBDlAcdGsHY3RwdHdVn63a7AUAdIU4X+HwFAgF1m2ZmZpRDvLe3J6c2Oz40g7DoW1lZ0WGNXRm6KFOplFzvfI5mZ2eRl5en7iz5iMR3xONx7O3tqTPINZ+/lx3VpaUlOJ1OdcAKCgpQWlqqwze7pNQaUirCXFxyz0geYLZzaWmpkEt8nmiIWVlZ0QQnmUxifHxcn38mk8HExIQOFUQh7e3tqfPM683nmYUeqf1jY2OagM3MzOggSYkRdcdms1n7HaUw6XRauKm9vT2J/HlP8T38Mr/+TYwp//RP//S12tpanTR5mqI7DAAqKioA3HcfUgjNDgctsZWVlSgqKlKmY15enlqxLMhCoZC6HzzNmUwmlJeXw+fzqVMQCAS00XFEQiv33t4e6uvrAUC6JZfLpc4ULfsLCwuw2+3SoZCcHo1GdQrc3t5GRUWFTqGlpaWw2WwoKipCRUUF7Ha7kAHMb6Szjh0Yvof9/X243W6k02mZIng6qKurE+We3Rqr1apTELMZnU6nkAbsTlJ8WVZWhtLSUrkyc3Jy4Pf7FZJLkbbD4dCGbDQaxdlhnlg0GgUA1NXVCb1AgK3NZsP6+rrMCTzhFhQUwGq1ihVH95XD4VCnrrS0FAUFBRJxNzQ0qCik+NRiscBgMID3G4tAmgTYzi8oKJAmjt07jrmZf0qxPlEgxFD4/X6JeIH7dmqe6HmPUkTMdjjvI6vVitLSUgQCAQn6KfTnfcdFjYRyu90Os9mskybvEY/HA5/PB6PRiPr6eo0NWlpapKMkAqC+vl7t+WAwiKKiogeyKwnXLS8vh9lshsViEWGdLjpeA5LBiWuoqKjA1NQUotEorFarMit5TQsKClBVVaXRfzabhc/nk1uOz2FRURG8Xq+KLY/HI5E7hdWBQEDdVL4+Yk4onLbb7SpmSEHPy8tThBkdwRyl8XnJzc2F2+3W66bwu7CwEF6vVx1zOtqcTieMRiOi0agccdSleTweiYlpWqGTj2ae2dlZneTdbrecyOziTk9PIxqNqqO2s7OD8vJyaWcobK6rq1PnsLy8XPdONpuVxo5FHbs9HKuT2k6xPeGkNJLYbDZNDlZXV5HNZnXfsZjOz88XM4vPMl3MLLYoQqfBh7DQYDAoBEdJSQk2NjYQCoWQzWYVYN7Y2Kg80rKyMnV/CbCmNIRh7Lu7uzI3MGnBYDBo2mAwGHDkyBF4vV4FSBP+zUMU73feIy0tLTCbzdjf30ckEtF/2/Kq7AAAIABJREFU39/fh8PhwNbWFoLBoAC5bAJQj8fih1IUCs6dTicMBgOOHTuGlZUV1NbW6jN0Op1Ip9MIBoO6LmSj0UiSn5+PhoYGpNNpeDweFBYWIhgMynDETmZpaamAyZRwsDiPRCJwOBzIzc1FIBCQ0YB6ThppuFfQbMO91+VyobCwUJFwnMDQAESTE01F7JYSbcFuZnFxMUJfwG9DoRDy8vJgMplkOGM9kJ+fL1MCNcW8T5kYwfvX6XRK5uD1erGxsYHW1lbs7e2htbUVqVQKhYWFsNvtMipEIhGOSf99jinZamV3jBt8NpvVg1hQUAC32439/X1Zs4uLiyVI5biKbj2z2axYmEwmI4Iv/5mLEgNYuVGz/e33+2G321XMcRHiotDc3IySkhKUl5frgaUQ2WKxyDlJhyZdXmyFM8aJXS0A2lj4fQczDvn+ysvL1WImR4hOpcLCQlRWVsJiscDr9eomzmQyGqESIEhxLAAVVxRMEsEAQIUaOwdLS0vwer1abBcWFnTDkvjPjYWdCo/HoxD4paUlLYJc4Ckg5Sa1sbEhIwWRJQfdSPv7+3Jf8b1z8QLwgLuoqqpKC5zX61WHgIwul8ulE+X09DTC4bAWBY45WQQwrLi8vFyjOuD+KZlGB4Jw6T5dXV1VrBBHnE6nU9eooKBAHREuGDQPkAnW2NiojZifp8fjkUvUZDJpkyksLNT7393dVcFNty67xHwNXPgpQCfbjtedgnUGL7M4OqgJ4T1PwfPu7i7m5uZkxGCwNr+PLB/S2Z1OJ6LRKDY2NuQAXVpaUkCvyWSC0+nE5OSkgL+ZTEa09/LycgSDQQBQagI/a0ZFkZHH55UdT47i2PXY2dlBbm4uampqYLfblcyQl5enrgqdoPzM2I3n7x37Ikc3Go1iZWVFjDI6tchVKyoqkoOPzmK+FoPBgJqaGpSVlcnJxWcqJycHlZWVmJ2dlQON3UCr1Yr6+noxldjJ5XWjA5RSBq6ldKbynuS4la+P95TFYsHOzg5KSkpULBB2mp+fL2gp0x2qq6ths9lQV1enKYDNZoPf75erkYcCHvxycnJQVVUl1iTp55WVlXq2+Mwxb3J5eVnyCZfLBZvNpp+12+062NbU1OhQZzQaxaPj6LKyshL7+/ty93P9ZgHCcbff70c4HNZhiOsUx4DULNGN73Q6ZbQqLCxEOBxGIBDQ99BZDdzXq7W2tqr441iQ40aOOSsqKpCXl6f9ks8S2V7UW/O6sQDk6yW6h/cX3wP3vWAwiMLCQhU4LCI5vo9EIurM+3w+afF2d3fhcrlU1PNQREcrD1rsuns8HoRCIe0bXNN5yCgsLITT6RQyZGNjQ+sv3dF8XTwIUyZiNpt1SM5msxq5s0nCbi4PsmSNcd3n80ppFO+HX/bXv4liDICwDPF4XJt7QUEBFhYWxGSKx+NCHpA1Q9cWZ9u0yFJ4zmKFGxSdb6Rm84Gl46SkpESWbo4FqGnjxWK4NeMcSJtn8cDRBwAMDg7qpNnV1aUTSWVlpfK06M4kU4uvl7qJg6ezzs5OFYPsRPDhaWhowOLiolgoHB8MDw+riKJNl2JLds7IX+nt7cXS0hKSyaQ0K7Q6E4BaXFwsC3VDQ4NO0yUlJWrLU8Rus9lUuI2Pj6O3t1fjir29PTl2iAqZmZlRAcP2PQvZqakpidf5QNNxFQwGpRXkAn/v3j1peChENhqNGmX4fD7cuXMHxcXFKkYZEM2OVE5ODu7du6d7KRAIiEzOa+x2uzExMSHswtzcnACvXOyXl5cVKbSxsaH4HpKxeS0YeA78owYOgGJPOBZl6P1BsG9NTY10aUajETU1NXA4HLqHjUajOGQHu8B8ngDoeXA6nRgYGNCYkrb+WCwmrQVzHBcWFmC1WuWc41iWo82D40kWVTTJbGxsoL+/X2wpglI5UuGoj+JiWvY5us5kMhqFkzDO0GrGE1Ebx+L2YLg7tTZWq1U/R6QM0wo45uVBhSMMFsK5ubnqch3ESfAwcxBoSe0nHXL7+/tyPcZiMeTl5WFra0t5nSw8a2pqMD09rdfe1taGaDSq52hubk7TAB5oqdvjaJwdaWoyk8kkZmdnhdiYnJyUONrhcAibwOefXRdutoz/4piVhw52EN1utziQHEeVlZWpM8JxPnV9y8vLCAQCEqHzs6I+h2NckufX1tY0sh8aGpIwn8BbrtmlpaXSI3P94iSBTk3igLgOlZWVYWNjA2VlZQgEAujq6tIaSU0jY+D42gnRptaJiAwWvz09PRox0+hBs8v+/j7i8fgDQNOysjLBSHd2duT6pCaThcbS0pIOuGRhEeBaUFCAu3fvqtNKLltOTg4SiQT6+vpUeFI2sbe3pykBJQhEidTW1gpVQQkCZQj9/f265yjvcblcMoxRX8wD3OTkpH733NwcJiYmdA9aLBalldTU1Giv4xiTMhROUbh2mc1m2Gw23Lt3T0Uc+XDLy8sYGxuTRIPmreLiYo2a8/PzMTg4KEPf3NwcwuEwTCYTksmk7glqBX+ZX/+iZsxgMAQA/D8AygHsA/jP2Wz2/zQYDK8B+B8BzH/xrb+fzWbf++Jnvg3gNwDsAfitbDZ7/p/7HXa7HceOHUNra6s6RR9++CHOnDmjfLhnn30WGxsbePzxx2Gz2XD16lVpGY4cOYL5+XkcP34cGxsbCAQCCrb+4Q9/iMLCQrS2tuLWrVt49NFH4fP58IMf/ABPP/20RlIMY2UHIycnB2+++SYymQweeeQR/PCHP8Srr74Kv98vng5b4/wzZgI+88wz+Id/+AdlJ37jG9+Qe668vBwvv/wyBgYGUF5ejs7OTrS3t+P555/H+Pi4kBKc53Px6+7uhtVqRSwWg9frxfT0NJqbmyVI5nhtYGAANpsNra2teOKJJ7C5uYlAIICvf/3rOH/+PBoaGjA6Oora2loMDQ0p+ufw4cPi4Zw4cQKtra34lV/5FQnzt7e3cefOHTz99NO4ffs27t69ixMnTqC6uhpdXV0YGhpCbm4unnnmGUxMTODFF1/Ee++9h5qaGgEpw+EwLl26hK9//esKa/72t7+NX//1X5ez7vPPP0d1dTV8Pp8s8c8995w0Shyver1enSYZiG21WhVSztb/rVu3FF9EZhh1e6+88orciV/5ylcwPDyML3/5y7qmbrcbgUAAm5ubqKurw3e/+138xm/8BiYmJnDkyBFFqZBpxM3nIDRzeHgYVVVVct12dHQov25sbAzz8/M4c+YMEomEumJer1fd3t/+7d/Gq6++Kjv/V7/6VWQyGUSjUQwMDKCjo0MCfFK2z549KyTIkSNH8Fd/9Vd49dVXcefOHbz77rs4e/YsSkpKMDY2JiOHz+cTHPORRx7BwsIC/uZv/ganT5+Gz+fT/dHc3KyCMBQK4dixY1qg1tfXcfbsWXz44Yc4cuQIAoEADAYDXnzxRUxPT6OpqQlVVVUqwiorKzH2RVRZW1ubMmg//PBDPPfccxpfLC8v4wc/+AFaW1tx9OhR7O7u4o033tDfxbi03NxcnDp1SikaBQUF6OjowM9+9jPBHxOJBI4fP454PK5xbyKRQFtbG5aWllBTU4OjR4+isLAQn332Gfb399HR0YH19XXcvn0b3/nOd7SZ/ehHP5IT7MiRI4jH46LNk+V09+5dvPDCCwoN/+STT/DEE09gfHxcYx9qeG7fvo1AIIBXXnkFMzMzeOONN7C8vIyjR48KU8LDHMX3TzzxBJ566in8/d//PV566SVpONktPH36NOx2O2KxGNrb21FcXKzRYHd3Nx599FF88skneOSRR/DWW2/hhRdeQF9fnzoyoVAIq6uriEQiWFxc1HW/efMmlpaWJPiuqKhQdNaJEyc0iuP49Z133sHTTz+NyspKFBcXw2g04tChQ/iDP/gDPP/88/qcR0dH8cwzz0ivynFwNpvF3bt3xXvs6+sT5uKVV15BPB7Hk08+CbvdjuXlZfz1X/+1rumxY8cwMDCARx99FNvb27h9+7bWjccffxwmkwnXrl3DkSNHBDx++eWXpedjDmVHRwdmZ2cRiUQwNDSkrN9UKoVnn30WQ0NDeOedd/Dcc8+pE083aEtLi0DQX/va1/D555/D6XSqI/3ZZ5/hW9/6Frq7uzWRWV1dxXPPPYfe3l40NTUhNzcXIyMjChXPycnB7du3kUwm8dBDD8Hn8+HixYvY3t7GqVOnRA0wm834/PPPcfbsWT1r+/v7iMVisNls6ooGAgHlEhMkvbe3hxdeeEH6q6amJhgMBnR2dmJxcVHh36+++ip+/vOf49lnnxXG5Y033kBNTQ1ycnLw/PPP4+TJk2psPPnkk6ioqFCT4vvf/z5+7/d+Dx6PB2fOnJFb9oUXXtA9HQqF0NLSgjfffBNf/epX0dfXh3g8jkOHDqm7ubOzI84Zp0sPPfSQPr+Ojg40NTVhbW0NPT09yM/PR0dHB7q6utDU1IQ7d+6gra0N2WwWv/qrv4pvf/vbOHXqlAx8c3Nz+NrXvobNzU288847/9+qrn/i618j4M8A+F+z2Wy3wWCwAugyGAwfffHf/o9sNvu/H/xmg8FQD+A/AGgA4AXwc4PBUJPNZvf+qV+wtraGCxcuIJlMYnJyUm1nvtlMJoNz587h008/hdlsxo0bN3Dr1i0J7CjeHRsbk7OS+oWbN2/C5/MhHo8rt6ukpATT09N4++23pXuggJ8aMQDa3D777DN4PB588MEHCAQCuHnzJsLhsOzEwWAQS0tLKrDOnTuHoqIiMcTeeustdQd6e3tlw56ZmZF4nmOd+fl5/PSnP5VDc319HR6PB319fbBYLLBarXLJffTRR7Db7bJwE6Oxvb2Nu3fvYnt7W7bcgoICXLx4UXmbAwMDCoqmrb+7u1t2f3akLly4AL/fj6WlJbV3eSq5ffs2amtrMTExAbPZLLZTbm4uzp07h7t37+okcvXqVXUEPv74Y/T19ckK/8EHH2BlZUVi8CtXrmiUtrm5iY8++kjibavVKps/Y4foBmVHMB6Pa+x39+5dnfqpHaKr8Ny5cyJPc2GiMJg4CX5GIyMj6OjowIcffqhO7I0bNzQ+puB0ZmZGfzY0NITFxUUkk0m5I/l5c7Gh3Xp6elocLMIPecLs6uqCx+NR9uLPfvYzzM3NoaenR/eswWBQJ8dkMqG3t1en3EQigbfeegtDQ0OirxN1QTFuJBJBKpUSP4rIjs7OTvT09IgHtrm5Kc0mLeHsoPT39wMAxsfH5brixt/Z2Yl0Oo07d+6o00VnKLEOLJaTySR+8pOfCBrKeJdLly7J4RuLxYQbAICenh51NYmTYNeuq6sLg4ODSpfgfULsBjmF29vbGB0dxebmpsj2B+O+cnNz8dZbb8kNzdDxTz75RNR14H43PBAIoLe3V2PVgYEBjWoptKcLmZ2CsbExFTjJZBIff/yxuro1NTWYmZnBzMyMImi2t7fV1SoqKsLly5fR19eH+fl56a4uX74soDMFztSfTk5O6lB77tw5pFIpvPPOO4jH42KBDQwMIJ1Oo7e3V4Wm3+/H5OQkxsbGZJ6prq7G7OwslpeXxf8qLi7G5cuXUVhYiEAggMuXL+vASW6gxWLB+fPnFTd0sBvOETmj3CiaHhkZwfDwsKjwb775Jnp7ezV6oo6QWI1z585henoaP/vZzzQpoQnko48+wu7uLnp7e+WenJ2dxU9+8hNFKG1sbCAej2N2dhaJRAKhUEhmposXL8oUMTQ0hFu3buHtt9+G3W7HlStXkEwmhUAC7htfDq6NxLZYLBb8/Oc/V3eJcoRUKoWhoSEx8Ti2GxoaQl5eHgYHB7Xu22w2dHV1yUiwv38/N5Zdbo426STnGG9yclKSiVgsJjMPuZn7+/v6/sHBQWSzWQwPD2NsbAyXLl0SquTu3bs4d+6cjDRdXV0Sw//0pz/F3NwcCgoK0NfXp/2Oxr0TJ07g+vXrGBsbk5FncXERN27cQE9PjzpU3NMuXryIyclJGAwGfPzxx7pnXS6X4pXi8TjcbrcMKsQIjY+PI5VKYXp6Wutjf38/RkdHMTQ0JEAzo/feeecdXT+ar65cufKvKJ1+sS8Dren/6h8wGM4B+HMADwFY/+8UY98GgGw2+8df/Pt5AK9ls9mr/9TfabVas48++iiuXr2Kxx9/HKlUCq+88gq+853v4Omnn8b29ja6u7sRCoWwt7cnaClFfP39/WKEEfTZ3NyMTz/9FLW1teqkdXR0IJVKYWVlBQ0NDfjoo48k6lxfX0dtba2cM7u7u3jhhReQn5+PK1eu4Jvf/Ca+973vaYRVXV0N4P7CW1xcjIaGBrz77rv4nd/5HfzlX/4lvvnNb2JgYAAmkwk//elPsbGxgd/6rd/Chx9+iOHhYYncGxoaYLVa8eMf/xh5eXl48cUXcf78eaysrAhCR4twQUEBTp06JXDk1atXsba2JqFlIBDAoUOHsLi4iLGxMUxNTWFychKHDh1Cf38/otGoHKN3795FQ0MDlpaW0NDQgJGREezv7yMcDmuDi8fjMkQsLi4qNuXo0aMIBAL48MMPddJqaGhAT0+PTsPnz5/H4cOH0dnZKSF6NBqF2WyW08VsNuOpp57CO++8I6TGM888g87OThklWltb8d5778FoNKK5uVk8t7m5OQCQCwi4b+7o7u5Gc3Mzent7cfjwYYEmuQgnk0kEg0GUlJTgxo0bqK2thcvlwq1bt/Dss89iZGREgF2O96LRKCYmJvCHf/iH+N73vodgMIi1tTUMDg6ira1NQvDV1VX09/ejo6MDeXl56OrqQnV1tQTro6OjAvTevXsXhw8fRllZGW7evCmXlcPhQCwWU9H9rW99S+HZy8vLCqemDof5hDS82Gw2xONxbWJ9fX341re+hXPnziGdTuPUqVPIZDK4fv269JZLS0tob2+H1+vFhQsXcPv2bRQWFuL3f//3cf78eaTTaUWv8L3Pzc0p8LioqAhzc3M4ffo0bt68iY6ODmFBAKC7u1sRWj/+8Y8lpHe73Th06JDG2UtLS4jFYjhy5Ag++OADdZaqq6tx9uxZXLt2DVevXoXJZMKXvvQlyQXI9tvc3FTngoX7+Pg4AoEA7t27h4aGBszPz2N0dFTdsd3dXbS3t+Ptt99GfX09cnJycOXKFZSVlaG6uhrBYBDDw8MAgKeeegrf/e53NeI9duwYamtrce3aNXz++efY3NzEww8/LJjlpUuXcPLkSY0pd3Z20NDQgB/96Ed44oknkE6n5dBtbW3VRhKLxTA4OIjGxkZEo1G8++67cDgcaGlpwb1792R0YQLDnTt38I1vfAPXrl1TsU1ESDweVwFGDE4qlUJbWxtCoRDi8Tgee+wx/OhHP8ILL7yAv/iLv1BcWEVFBQYGBpCbmyuSOvMjH3vsMW3u6+vrAuVmMhkFOJ86dUrw4+effx4ff/wxZmdnYTKZ5Ej/zd/8Tbz55pvCMVRWVuLNN9/E5uYmPB6PMDaZTAaHDx9W14aCfIY/v/TSS3jvvfeUQPK7v/u7+Oijj3D69Gl8//vfx+nTp3H+/HkUFRXhxIkTSl744IMPNOq8c+eO4rkGBgYQCAR0YPnyl7+MixcvAoDem9frxccffwyHw4HNzU1MTU3h6NGjknq0tLQgmUzihRdewIULF6RF/fzzz1FWVvaA6eGpp57C3/3d34mzODQ0pAlLRUUFysvL0dfXh9OnT+P9998HAOzu7qK6uhoPP/wwLl++jP7+fpw8eVISl729PQwNDcHv96Ourg4TExOKpZucnFQ6y9DQkMK0idLh1Iew49raWjEY5+fnUVdXJ8D2oUOHEIvFtO43Njbi6tWr+NKXviQDwPnz94djBQUFaG1txb179+B0OnH79m08/vjjePXVV/Hnf/7nahoUFxfj5ZdfRiKRwOXLl7WeORwOTRdourl06RIKCgrQ1dWFRx55BNeuXcNLL72ES5cuobm5GVtbW7h9+7ZG48ztDYVCSKfTuHv3rmKVqDGmS/bMmTN4//33sbCwgPr6eh2ka2trce7cua5sNtv+CxVQ/8zXL4S2MBgMIQBtAK7jfjH2Hw0Gw68D6MT97tkyAB+Aawd+bOqLP/snv6hbevLJJ3HkyBEtMkePHlUbdGJiQvl0bH3SmUVeEzsljPWYmZlBJBKB2+2WiNHlcsnh0tLSgry8POV41dbWqhtGrRNdciUlJWhtbVWmJEnojY2NWF9fx5EjR5SJSSdOMpmEz+fDyZMnMT09jdbWVuXWcUbPRZ+5aKRzM+trZ2dHIyibzYampia5Qsk14nug45Fk/vz8fPh8PsU08aRFO6/P54PL5UI4HFbLnMJNOqAYX2IwGHDo0CFsbW2hsbERmUwGbW1tyMvLQzgcVnwTR22JRAIej0e6FqvVimPHjiGdTqOmpgZ9fX1yRnV0dIjt5fP5MDg4iKamJqRSKfj9fpw8eVL0eWJMGAcTDAbFcGpoaBBKIBqNoqGhQcws6qWI1KBDtbGxEVtbW3jooYfQ2tqq+IyDSQv19fWKETp06BBKSkowMjKCo0ePoqamBnNzc8qrpGibp3ZG+1AbVldXJ61Zc3OzRnMLCwtYXV1FKBSS8WBzcxMulwsnT57E2BcgYXYi+L3siLIzSDcpLeEOhwP19fViBZFpxCIuGAzC7/fD6/UiHA5r5L27u4uamhrpT6jHIb2+tLQUHR0dGrOtra3JfcQxi8lkEhCzsLAQzc3N2ripD6qtrcX29jbKysrQ19cnd2ZbWxva29ulyeSpmCNSu92O0Bf0f7/fj3Q6Lf5ebW0t7ty5g/r6erm7jEYj2tvb1VGge9RqtaKpqUn5gzdv3sTRo0f1jEYiEX1fIBDAiRMnpAeqqKjQ66JQvqioSI5ZCrMpBmb48cMPP4zW1lbs7u5Kf9jR0SEaOd2VFB3T5dbR0SFMwerqKsxmM1paWpSVy0xBQojpSA6FQmJb8fBtMplQVVWlkXxVVRXsdjuOHj0qN3JVVZXew/DwsDpwZWVlaGlp0UGR3XsiSmw2m+LlKioqFJtDV2ogEJD2zuVy4fDhwzJ/bG1tobW1VYU8DyVWqxWRSERAV+p3aYwIh8N4/PHHBaGmINzlcqG6uhperxctLS1YXV1Ffn4+6uvrYTablclKETpd9cXFxSgpKdGkJRKJSNu0tbWlz4y6Mf5ddP9ls1m0t7djcHBQr4EuemoXqdfk7+3o6JBelOabEydOoKysDH6/HysrK2hpaUEikVAiAgAR4snF5Dibrz0QCEhnxozW0tJS1NbWCmx6/Phxjc13d3cxMjKiNZJFciwWE3LEaDSqaHG5XHIRt7W1oaioCGfOnEEwGMT29jaqqqrE9ltcXERDQ8MDLDgWhZWVlQ/o+yorK8WCo9O7o6MDxcXF0qwx/oi8x/r6emSzWbS0tDwQF0cjWDgclr6PJoby8nKNZ5eWlnDixAmMjo5icXERLpdL+wpdwwsLCwiHwzh37twvUj79i1//6s6YwWAoAvApgO9ms9mfGAwGN4AFAFkA/xsATzab/R8MBsP/BeBqNpv96y9+7r8AeC+bzf79f/X3fRPANwHAYrEcfuWVVxQCnJOTo44ILePRaBS9vb04evQouru7kUgk9MGzpUlrOa336XRa4tKVlRUFgbMNS56Nw+FQwDFNAQaDQQ7H8fFxPPnkk7hw4YKCnSnK7O7ulj5icHAQTzzxBLq7u9HU1KQ2PB8wi8Wiccn8/DzGxsbQ0NAgNsr8/LzCjQn85I1JdlA0GsX29rYggHSNMHeTaQD9/f2IRCLq8jDLi6JLaj3IpwLut/+5+UxOTuLo0aO4efMmAoGAoLsHxyYcPXKxIqGa9PNsNotkMomzZ88qmJpOveHhYTz66KOYm5sT2JNRK6S6FxcXw+v1Ynx8XJ8fAZQjIyOyWDMImlZuMpHKy8sxODiok/7MzIxYP3a7HRUVFRr3JBIJBV0XFxdrtEuWmslkwpkzZ/C3f/u3CAQCaGxsxNtvv41AICAnHUOeaSVnF5KsMYrYFxcX4fF4ZMXmeJEuz4WFBfh8PmxubiIUCukAcvXqVRw7dgyffPKJ9DB0UZJDxLy8iYkJOJ1OrK+v63NkEK7D4dB1Z5eL2rNLly5pk2tvb0dXV5euMcW129vbcp/ymWMHg/iGbDYrBlBtba1GujQ20NXJe6WpqQmrq6u4du2aOgoEIJeVlSGdTqtrbTQa5aLj+wOAqakpXf+9vfuqCNrrk8kk3G43ZmdnJaBm16O6uloarrq6OvT19WlT5bVlt50k+729PSwsLCASiWB2dlYk+nA4jGvXrmmt4WGR+ie6KDmSI/ePWaN+vx8+nw93795FPB7H4cOHce/ePR0UKXgnsmFnZwe1tbVYWFjA6OgocnNz5XJzOp147733EI1GMTIyApfLBafTia2tLVRWVmJkZASZTAZVVVXo7+/XhsR0AXZcmaZgNpt1MCO6h0WmzWZTnA1HYR0dHfj5z3+uXFQS2IeHh7G5uYmWlhY4HA7cvHlT7ki/368uLACNHBnyTLMJR158/6lUCrOzszI9dHR0IJFIoLa2FtevX1fHjK68g3w9jvgLCwuV7RqJRFBcXIytrS1MT0+jpKQEg4ODkoqUl5crRYE6OsZ6Mb+Wo8FTp07h3r178Hq96iqNjY0hPz9f/MSamhoZHfb29pDJZHDs2DFcv34dqVRKCRV2ux0WiwX37t2TO5poFsaxscDjOJiFZE5Ojp7/oaEhOJ1OOS95wEokEnLtejwexfMB0GdvNpsFDCeOJJPJqNCnFIRMQxIFSMxfXl6Gx+PBwsKCxocvvvgibty4IR4YER+rq6sCZPt8PjUzyBol021zcxMDAwNobW3F1NQUPB4Purq6pCfngY/rAPlhvCeY2sHGDLOx2Q0cHBxEJBLB5OQkmpqa0N/fj2vXrv1SO2P/KjelwWDIBfD3AH6YzWZ/AgDZbHY2m83uZbPZfQD/N4AjX3z7FIDQluaRAAAgAElEQVTAgR/3A0j8139nNpv9z9lstj2bzbaTkD42Nga3243i4mI0NTXBZrOhpqYGNTU1iMfjCAQCmJmZwc7ODtra2hCJRFBXVwebzSYrN23foVAIGxsbCAaDCnmORCJyYzU1NWnRIG+EbCQSf6PRKFpaWuDxeBRazsKG/BtW5LTB19TUwGq14tChQ2hsbERdXR0SiQTm5+dx6NAhhMNhxGIxAPediPX19QgGgwL7HTp0SIGnfH10eFVUVKC1tRV2ux2tra0KKCdPjF2wqqoqOesAoKqqCvF4XLR/dvtoF6+trYXRaER1dTVCoZBsyoODg0KBFBcXIxgMYmZmBpWVlfD7/TpFVVVVob6+HvX19aisrFS3iV0eamlqamrQ3NwsN87MzIzs23Ro8rozLD0ajWpxaWxs1P1ByzEDanly3tnZgdVq1ftjZhttz0VFRairq0MoFJJrt76+Xm7Wqqoq5OXloby8XN00ogNaW1vh8/lQUVEhLEEoFEI4HEZ9fT08Hg8CgQC8Xi8aGxtRXl6OaDSK1tZW1NfXIxKJICcnRwtvUVGRcim5QdDuTZp4W1ubnFM1NTUYGRnRAlpVVQWTyaTOssPhQF1dHTKZjF7/7Owsjh49itHRUczPz6OlpeUBcLDdbkdtbS0cDgfC4bCyS/Pz89He3i5u1fj4uIotPmORSERh2AaDAU1NTUin04hGo4hEIkJKMF/R5/OpIGUXtqmpCY2NjTrBV1RUoKGhQUkGtLCfOnVKhQRPvocOHUJlZSUOHz4Mt9stp7DX60UoFBKVPhKJ6Nrw4EQ8gdfrVWFDtxYp84z54km8paVFh4pUKoXDhw/j2LFjcqwSG9Pa2iqHJAua8vJyAFDsTTAYhMfjUboG16SysjIMDw9jYGAA9fX18Pv9MBqNWF9fFxqCJhYaWYaHh3HixAn93UxsYPcoPz9f2Zbs7GQyGdTV1SlgOz8/H83NzYoY8vl8qKurE2aA6A3GtfF5qampEaagrKxMzC8iTcLhMEpLS3H48GEFoofDYRkD2tra4PP51E0lfoBRUcQSpdNpOJ1OuX15Levq6hCPx7XmEErMe4LdmaamJh0QPB4PysvLNRmh83R2dlbcqfHxcUUVzc3NwefzScsF3O9cMUia9yULzPn5eZmIXC4XQqGQ+Gcc7ZMJyXvz6NGjWF9fVzeIDl1yyQBonaBG62BnkQVqbW0tDh8+rHXK6XSqg8qJR2FhIaqrq9HY2Ii2tjY5iScnJ2G1WlFdXY2ysjKYzWZ1y3komZ6extDQEDKZDNrb27G9vY36+nqYTCa54OkMbWxshN/vRygUUszh7u7uA3xJ3vdHjhzR756ZmcHm5iYaGxsRDAYFugUgMx47nTQjUCPMDl1zczOam5vhcrnQ2Nj4AEKJcW7EVU1OTirFg11IRh+Fw2G5sdm4IZD6l/31LxZjhvsezv8CoD+bzf6nA3/uOfBtXwFw94t/fgfAfzAYDGaDwRAGUA3gxj/3O3JycoSscDqdusFp++ZYgxZUtng5OiouLpabIhgMYn9/X3wY2tE5biMygxZs2qgBPMC7sVgswlwUFRXJEs2xodvtFp8olUppg/J4PHrQioqK9Heurq7KpUmbO0cK7OQA9282trnJTOEplcUX2VB0dBYUFMhNyM+E3TbeqBw3ENzKhYmsJ4JmGZrObgQ/R9rA2dblyZWtZXbNCIjc3d0VNJSIDZvNhuLiYlm3d3d3Bb2kHoW8H6fTiZKSEnW1eD3IheLnQjwD/w5CWXlSIxiQ2JHNzU3F0pD8X1BQoJM9420OmgNo5adWh0wngj1p5Xc6nYJtMleN2guy72gZJ46Cr4ujPo5LmCdHRxtPbOyqUHxbVFQEl8ul/xUWFgqeCEAMMwryLRYLQl8EHpPDxyKLr5sbC9vy5NTl5+fLCUdEBRdUjqfIp+Pm4/f7MT8/L5cyqfO8txiKbrFYlGfIERVxLOy2Er5MthvvB8KLuQYQ1sm/n53g8vJyQWTZnaOInrxAsqdIk+fvYqQVAI04GMFGJyk/F8KC+e8lJSUq6FgokfNGyz9H0/z7GeHE/5F2znuI0gx2Xm02m2C21F/y2eCaUFBQICI5N/ZAIACbzfYALogbD7WOHHuxI8Yij3BQFmLUYXHNZpQYXyf5ZIRncmx7EKpKeDGZWEVFRQCgjZIbc3FxsQ5wHM9zOkA0C9lYZLexE5yXl6cOGSPiDn4GhFqz6ObzwTWb14d/lpOTI9MEkzo2Nze1JjJKiaJ4Zk2ywOW6yPWSfK29vT3FI7FTy24dn3PumQCwt7enaDmLxSKeHsHK7D6y2ONnZDKZpDktKSnRvsyfY4G/vr6uxAWj0ag1jvsN8zMJjOZaQh0cjVbspHPP5Ptn6g1jq3hPFxYWCtlCyDk112Qy8nkhZZ/7NqHYZCQSHM5Aed5LvBc4ZeIErbS0VPch12pGv/2yv/5FAv/rr79+EsD3ABS+/vrr/9Prr7/+P7/++usTAH739ddf/87rr7/+vwCwA/iPr7322vprr702//rrrzsAfB/Ar+A+2mLon/sdf/Inf/JabW2ttD/Mf+zr69ObJ5iytLQUKysrSCaTysuan5+X24R8Ip4qFhYWsLKyongG8obW1tawuLio30cQK8dEPAGx/W00GtHf369cP8YQTU9PawHhyWJiYgJ5eXm4e/euFkVW5r29vQoDpmWafxchpBxHsE3LqA0u9MPDw1hdXcXExIScI5lMRgs242QY0UKxK6N8CHAFIMwAY5G4WZJFNT8/r7EPIYH87yMjI8p9XFtbQywWg8FgUGAxY5BCoZDEkYlEAjk5ORgdHZVBIZVKIZ1OY2VlRZwu4iE44uH4mk6eVCqlEHgyjlhs8X25XC6FWzN7bG1tTbEiXOCYtba/v6/8NQDScXEBokOImydxHsx5pDvWZDJhfn5eTDtmhDJkdnFxUX8no6zm5+elYaAAnCOhmZkZmM1mtcpprGC2JkeUzFTlCI4uL+A+jJS6NcJ/d3Z2xNyxWCxYXl7G6OioNgyaCZiOkE6nUVRUpHuVo2iOPDlqnpubk2NydXUVHo8H8Xhcv5c8H254ZBjNzs5qlD43N6foFY54p6entWGurq5ie3sbQ0NDMnXwc1pbW5PrcmtrC3Nzcxrp8hpwbLK5uSm3LOGZa2trAtcyDmh2dhYGw/1Aam6kyWRS40p2wLa2tvTMZDIZbXBca+hctlqtkkns7OygqKhI90PoC8I8nbUjIyMqYBhvw+KdYv319XXE43FsbGxo087NzZWmaWJi4gH4Z15ensY/HB0WFhZK2kEtFt3ZzKtkgcmuK7MayaJiviNwH8w6OjoqhhN1oqlUColEQkVlLBbTNCKdTitmjAdf3sM5OTlaY9mJXFxcVPdrbW1NxWtubq5CqCmfYBYpTWB8ZvLy8pQLyeeVhyvm6FqtVmWNch1mfNv29rZMIzyYe71exREZjUaMjY1J9uD3+5XhyPgzdjIZis3CZHFxUYc06pmZw0nALUfyXAfIaFxeXhbra2ZmBplMRs9/PB6XMWJqakpszP39faTTaaUWkE1GRysPp8xPZnSd0WgU5geA1hMyFXmf8zpzTL+wsCAt6ODg4ANFKE15DPE+aFSiFph7O807/L100rOgJhOUEGx2m1kYE4w8OzurCDRq3bg3UZsbCoUwPz+P4eHhXyqB/18U8Gez2UsA/nuEs/f+mZ/5LoDv/iIvpKKiQtBGRpa4XC5tUISGMgKDFTG7Suxa5ebmKguLXQaO5TweD6anpx8Q17JbAEAL4c7ODhYXF9VZISGfgbYcLVDQ6na7taiXlJTolM1MOQo0KahkJX9wjs/IBnbqAoF/nPTye/kenU6nunU8uRsMBmmbLBaL3Ig+333vBEGFB0dF7C5xfk9dBRdAwiGpF2HHiCRiAin5ZyxyGenE0RM7bWazWQ8AOTbU9pEnZDKZUFlZiVQqJds3Nz/m97Frx2w4XhNqS2hGIEiVYmGmOXC0V1hYiFgshsrKSp2YWXAAkJuL4MiSkhKJhzlqpX6JhpLt7W2dgtkhcLvdGpknEgmJSdlBoWiemzZP0LwGOTk5ck6x6xuNRpVhypEfhd3sVni9XmVVMkCd94PL5VKeK8nnvN40uPA90STCDZnjPHZWmUfKiCVGIvFUzdM9IZQHT/V8jmgs4fNBLRLvSXY2+Cyw00KZALsuB0GhLMCoIS0oKEAgEBBKg90og8Ggrh276zy4cVPgeHBubg7JZFKpABxRsoPEDF127NldIFiaRfje3p42P3aJ2SEi4oOfQzgcFsGc+qhwOKzrws+dOrqDzw7vUbvd/gCMl6HuLNwIWeXvr6yshNlshtlsxuLioroYwD/CNQnf5eZGzerMzIwkHzzgsQPBQsJoNKrTWlJSou4lw6e5zrH7trS0JEMS7yMezti9558dNDK4XC74/X51yDkB4KTE7/cLHlxWViZdI8dW7MqwKwRAOkDG7TD9g//OJJaNjQ14vd4HHMgOh0PRWNxf+PwODAxIaM91jJ0ZRu3l5OToOeEh/GBhHwgEdIilgzeVSimSjPFvgUDggc+EHEceloqKilBaWqpnlM+9z+fTgZMZql6vFxMTEwAg6LHBYNB9wWtBowOnEuyGcp8nNoJuTpodPB4PUqmUulN8Xsj7dDgcMlFRpkB4LjN8eX+zwGcHnEkS3HcZnM4CF4DW1Ww2q8Kck6xf5te/iaBwkpzHx8cfcO+NjIygoqICRqNRXRhGi/DhpsaDLUTqbRiSy5ZpMplESUmJ+DkFBQVIJpNqTWYyGUX2xGIxZDIZNDY2qliiyJFhzA6HQ6c8Qjg7OzsBQNU+x3Pj4+PIZDL4yle+gvX1daysrCCTySgVoLi4WAtCMBhUZ4nsJ1bxu7u7crXwAVxcXFRbO5vNSqzJUdD09DSqqqowPDyM3NxcUehp+V9bWxP3iMJ2mgWmpqaQSqVgs9mUcceHaG9vD8lkUrlkZWVl0gtks1l1f0ZGRsSUIdF+c3NT4c10WzKEmeRlFuFGo/H/Ze/dYhtN0zOx5xcpSqSOFCmS4lkUdVZJKnVVdXV3dbere8bd0xhjZwBPvBdGnCCAjSQIAuQicO4mF4YnngsjucliLwJsLhbrxQILG7uxJ4OZsedQ7uqurpOk0oEiRVEkRZGiDtSBonjKhfQ8QxnOepy0Pd1j/UChVKoqkfwP3/e+z/scFOrOzaY1eJcPLIu7TCaD8/NzJJNJZbdRkMHXIVGeQcfs7mw2m342u1aqCrPZrNAQumdnMhk4nU4cHh7C6XRKSBIMBuVjxAgZ3qcswhKJhAjIDAE/OjqCzWYTunBxcYGRkREhDXt7ewqtTSQSOhd2u12u60RWKe6gonh/f18h4CaTSZ5gdBrndaYHV7VaxRtvvKHYqGw2i0qlgs7Oy4B0Ip5EgeLxOMbHx7GxsSE0gQVWLBZTIZdIJK4JCxhrxE2JSMzBwQHK5TIymYx4JgBEeO7r61PcEXme9XpdnCemOhweHmrkQOPSfD6P/v5+kYzpbE5OXiKRUPHE54FUipWVFXR2dmJ9fR3hcBiNRgOVSkXeRVS6MvmiNeaN4/dYLIZbt26J40SrnUajoc9PB3AmPpB0/+LFCyEsVNtub29r9Ey0lKM+ni8GT9PGx2KxwOFwiKzPzWVjYwNmsxm5XA4ejwfZ7CXdl0kQ3NDIT2PR3N3drcBqeieazWbs7+8LieTUgnFR5GGSL8vQaq6XtMrgxMNms6FQKMgZnoXo+vq6lI2MriGVoNFoIB6PY25uTkH3RHq6urqQTqexs7MDs9mMra0tjbV5Hqjevn37tp7vg4MDzM7OoqOjA/l8XmNoekPSA62/v1/WJbu7u6KwrK+vq6niOeT9BVzy+sgNpaDIZrMhHo9jfn4eKysrei77+vrQ1tamQHEKHUh1SaVSCAaDQrJJ99na2sLExITuTe6VLDiPj4+FQBUKBTUipVJJSDCvB+lD9BocGhpCMpnEyMiI7g+ilN3d3dp32trakE6nFaNEHzUqnmdmZlCtVoXOcxxarVYV+M6pCHDpPUirDq55HG0fHx8rEeHk5ATFYlGUhc3NTfH+Tk5OMDExgZOTEySTSYyPj2N1dVW859PTU6GXn/fxhSjG6FRPPxxyAYg4mEwm+Hw+bVYsxLgAkBdBpRZHdszqolSc0SAAlENGSJtjG4fDgZGREV08xjDwNamiAS4RK/KZAChDjjwaxuy43W4AUHdBHgWDpsnDslgsgoLZ8RMxYfQF7SDYrRMpOj8/V6g60T4+lORbEIlhx0Y+AUe6HEMSVSOvjguc0+lEKBQSB8Pj8SAcDotbwsWHrs8MbA+FQupY2Q1y5s/PPzQ0JNsQPnDcpMljqFarqFar4ut1dnbi6OhIeX8sqJmhxg2GxQoAiRh4XXO5nAJ0yYNjkHxPT49Gp0QtmWNJdK67u1sokdPplEksPe+IqB0cHOi6E7li59+ad8hrxTETkR52s+fn57rP2f2Ss3ZwcKDRGkUQzHdljiC5cCMjIzg6OpLNBonRRGM4sjKbzco4PTw81GLPjp2JAxwV8dpSgQdcIoz5fF4oIseORK3YiTJyi1mCRGOJEvI+5f3Fc0W0wGKxAAA6Ojrg8XiEzpGfRd6MyWSCy+USGkCiOT8/R68cgZP309/fj0AggEKhcC2nsaenB+FwGAcHB4hGo4jH4+jv778mciEnkgUWCcQA9Pw0m00ZWTNUGYAI1aenp/D7/QAgAjy5XwDE1WOBTsFNa2bh3t4eOjs7pVQlwsFoJiK/zPkkj641daSVq3Z2dibEj+NErg9EnKn2dblcGq+2IjPksVIBzc/DyQYAoXu8xlwn6UdWr9e1nrMA5OZLoQvFP+QzVatV8dzIvySqxWKd149GzwC0/pAQ3los8t4CoPPELFmOUOm7SC8+3hsMayeyT2EDfw4zJH0+H05OTlQEc/zm8XjkAEDzY4/Ho8/DSQGRYI4BiQZxb+DaynWYPETeF3zPFotFPMhGoyFeMT8fUS5OlLhuEPXl+kEeKlF68r7ZnNHGiHw6Cju415Fffn5+Lv82osucqDG7s9FoaMLDdbi7u1t7Jvc+orlU1tbrdTgcDu0h/xDHF6IYY0fLB6harSKVSqkT4Uhjf39faBi5RyT8cSPnn10u1zWp7+npKbLZrKrp3d1dSes5E+ZCS/4YFUGJREI5VuQdEWLf3d1FOBwWYkZOCB2bya/ge2ydTVMSzAXw8PBQmyF5POTd7O/viyy8s7OD9vZ2IS3Hx8fiRoyOjgoZ4Qipra1NN2KxWJSBntlsFk/l/Pxc83J+zo6ODuRyOY1IOD5gt8wkAMqryWUimre7uysEpVKp6IEmCbZcLiufLJvNwmQyKUmB5M+9vT3s7Oygp6dHPIlisSikkJ0lfdZ4TakA3dnZEepD9G97exuBQEBFSjqdFr+QSQxEL6kc4/khqkLzQOafXVxc6H6jVQf5fkT4ODZjl0oiLBE5ji+pHCMfideZSDEjVth11ut1xONx8QM5Htza2sLZ2ZkKH3KmuJi3t7eLazQ3N6fPzffBDpKfix0y72cWELSX4Xh1a2tLC3O1WhUPi7wYFtXkenE0vb6+jnQ6DbvdLsUniy1yDtmdt2YQcuMhQs57heMVIj+5XA7xeBxdXV3i4hDt4zNNzlkrCkupPjNVSaintxnvFYZ285ngmmU2m1GpVEScJ6c1l8spJo0TAd7jXJ/GxsaQTCaVOcp7nqgOVbP5fB7ZbFaIaqVSEQrodDrFJSO/lWh4tVoVv47jU6KdRODI4eHohrYtvGf5LPKaURBFZJ6FDceiRM6Yk3p0dISDgwOEQiEheDS1Jc+ORSo9xyqVCvL5vDZsIna9vb3i7zIthAHxR0dHorJwjWdiAC0taNFitVoRjUaRTqext7cHr9crTlKhUNC4L5lMqnniPUXEq9lsitNMugBFKq0o2vHxsUbbpVJJz206nRbqMzIygoODA11vJpbQqoVj+tYMWCLYIyMjsoLg9IGTBa/Xi/39fRUvBCt4nlvpK3z+SDcBLq1HKALgfcekBKJqDF4nN5pfcw1Mp9Pim9HTkM+JYRhIpVIaV3Of5/SF+yA5a6wbaIlBbjl56K1j+XK5rGeY9BJeJzahrVMGvhZH+Z/38YUJCid6woWf3CsWYkyub0VpyGNg18cHgOpFGmJy0+Br7O/vC+1iB8BNngosqhTZGdMjaGhoSMoSqnLoT0IugtVqhcPhkAUB59Ln5+cwmUziJ1ABR0Kv2+0WmkVLCW56NE2kCmVgYEDhxOw4yPMgv42oFgD9X6I1LBLJcQCgf0tCf2sHwQ2a3Qk5eyxMaPDIm55qG5rNEgZmkUaxBsN3idz19PRgcnJSqAa7K26C9OziOaGakL5OQ0ND6naz2SxsNhs8Ho/I1XxPAOTf5vP5tFFRDUh0hSgXFTdsBsj3o8ktzyV9swzDUKdqMpmksGVoLtE+Lsy8p6mk5PXh6/E+bWu7DB6PRqMasdO7LRAI6JzQR408GnbhXq/32rNBdRERKfIyqD4CoM6apGqinhcXF3rmuJBaLBYZlgKXi3qlUtEzw/dKtZ3VasXFxQVSqZQ2cV4HcjvIEaIBLQDxatjxkntEtITKTjYV5JaGw2E1HERayDeiSS7VuORwsXkhEm+xWKRo5t/TxJLoONcLqifr9TosFov+nvcUUTdGLlHkwGlAZ2cnAoHANa5iR0cHwuEwJicnYbVa9X6oBG/lY3E0xueA9wPXGvJeWxEacobIJaQdAtXWRGWJnJPjQyNerjucJLDBpMLW4XCgv//nYeE0g221G+B6ZDKZhPbweSGSzPdqtVqvjVpZ7HKNJOI1MDAgc2MieS6XS++VvEvyEdlgsAEhAkvVY3t7O4LBoMLbz8/PNZHg2NJqtWJoaAgOh0PCHPKcqLTmekWkvaurC11dXQiHw5qwnJ6ewufzaVxHZI6G5h0dHVLukktLNSI5yQQCaLBNagDRK05GrFarbGl4DsnXZLC6z+fT9IreggCk+GeTGQgEtOexsQUgNIr7K3l3HDFzLzo5ORG3m2bUTqdTnO7Wc0B/MHL6WjmwACT84ZiTtQQnXUQ1KQbjM0+klo0ZhR2f9/GFKMaazaZ4MzRdJToGQMoVXjAiWQCk+KGJG9WCnPefnZ2hUqlgb29PPCbDMFCv14VmtY5+jo6OUCgU1EGQmErVUTqdxv7+vvyViFyZzWYhadvb26hUKlIAVqtVzdlLpRJOTk5QKBSQTqcFC5dKJaTTaY3zWjcnpsUfHx8LEeB8fXt7W91doVCAyWTSQ9bW1qaMRxLH6TJMRIy8GXa7XNiphiPnam9vT+ea/5emfUSUqEziwshzSZ4Fu1IuCDyIQlIYQRSSBQkVn9w42CHv7e1JPVQsFnF6eqpO9OjoSLw+Fs71el2KqHq9jmKxiIGBAZmYUlXLUQqvlc1mU47a5uamEEtyhEiOZ2fKhZudLbsoLgD1eh1HR0cyDyWKRl5RuVyWAgi4HM8SIaBiK5/P6znhiDmVSulZODs7E5JHN24+N+S+8Z6i7xQRAqoRqdbiOTw9PRWKx+eNCz271JOTE6mbeG+TNMtzXCwWJYzgNSfp/vz8XCMcii7If2lvbxfayiKNnTwAoYoANFIl54hZfVTIEqXlfUd+Wy6X03NJEjyVaeVyWcU0zwfHRXweaN7MjppoTCtCT3V2sVhEqVQSn5PcH65dRA35DFmtVuzu7uq5J4pEG5fz83Oda6IOVAZTPU5F7eHhodCJarWqzNHT01PxHQ3D0OvxtXjvsdDl2kiOGlEJfnai0Sys+WxSIV2r1VAoFNSoca0ol8vXUDQiOeQKlUolPTscS3L95eZKTin5PkTy2eSWy2XtERcXF9jd3VXzwMzVo6MjoUN8No6Pj9Hb2yu1+t7entaxs7PLkHqKREqlEo6OjmRmSjU11X0837SOaVV0Hx4eihfMKUF3d7fWvUwmIySbI2Oq/wDoWSRPl4gwTU5bnxteK74/IvK1Wk3rEBXhhULh2j1AJarFYsH29rYik5g7SXNaPtcXFxcyY2fmMfBzMICoK4U5Ozs7umePjo6UBUyxGX3QWC+Q30s+JPeRVspNq3iIHG0q71mIcfS8s7Mj2gURePJ4P8/j77S2+Mc4vvvd7357dHRUiiCqenK5HILBoNSVjLrhRsoH8uzsDOfn5xgeHhbkSM5NPp8XN+Po6EjcqlQqJZk28x2pnmm9gc1ms77PDapQKGB8fBxLS0siKjO2gXFGPT09ijqh+ozGgpyJA0Aul5PVBTtbjnYYKRMKhZBKpeT8zGKRBN6Liwv5enHsxJk6b8RIJIL9/X29FgmznNOzM63X61poSHS3Wq2C4kmsTafTKJfLGB4e1utsbm5KFcpCg1Ep8Xgct2/fxvb2Nvx+P/b29hCNRqUG5KbIDZ7ke0quj46OJP/nZsaNh2gi3zd/Bh2baThIflJb26VP3ODgoMavRNj48LNAJopJg0UuNPTmcTqdyOVy4sMUi0X5gnEUTSHGzs6OvMCovqUzO81NOWp0OBxwuVyK5CCBmiHN5KGR80dCezabhd1ux/b2tvgcvH5cDCcnJ5HP58Ufqtfr8Pv9KuToT0RUr1UF2N3drdHQ4OCg+DocSbLoYcg5kaBXr15hampK98r5+bkKfyrVOD7mYjc5OYn9/X2FHafTaUQiEXg8HuRyOTmJt7VdRk/t7u7KZHN9fV2q5lgshoODA7z++uvX7AFevXol77hSqSQeGTlMJBJzdEHDaDYtRHTpl8fxLTmQ5AFNTk6KK8QgcCoHaSFC9TTHdTRLZhFCPhiVm7SQoSksUUyOsDiy29/fl5qWSjcqyyh+YCwTR+7koXK0Ta4dR0mtXBw2bjMzM1hZWUGz2ZTfWaVSwebmJo6Pj+F0OvH06VPd28fHx+JEEkGy2+3axIkeer1eNZhWqxWpVErrR0dHB6HJnZAAACAASURBVAqFAqanp3WPEM2w2+3K5Uyn0yrsORbl+sIJAKcxLLCnpqZgGIaKmPPzczm/k1fEteDs7ExcvtbnoqurC4eHh5pKcG/xer2o1WqyxTCZTNcQYlIoGHl1cnIi93f68JH7ls1mFYXlcrlkTULfL1Ie6L9I9Sn3C6ZT2Gy2a1ytg4MDtLe36zmjaGl2dlbIG9cxFi20JOFex/dPLi7NuIly836laCIWi4n/Rp4lU2LI4Z6ensbBwYGMiAGI/wdAfDXmftKbkc8l0T6r1ar0BY/Hg46ODgQCASSTSUSjUVmQ0IuSDS8AKZk/b2uLL0Qx9p3vfOfbv/d7v4dqtYpHjx5JIm42m7G6ugoA+PDDD/HTn/4U77zzDlKplJzDCVczdNTtdiMSiWBpaQmTk5PiBQQCAczOzgKAInSYyzY7O6vNMxAIYG5uTnAqRyvBYBC1Wg3vvPMOzGYzXrx4ga9//euoVCr4+te/js8++wxer1fwNcda3Eynpqbwox/9COFwGBMTExgcHER7ezsikQjS6TTu3buHgYEBZDIZFQp8UO12uxbS9fV1vPvuu8oEa823HBoakn1DOp3G/Pw8enp6kE6ntbjQLDYSiWiURZ8iKjOtViuSySTee+895XBR6XT//n3kcjk8ePBAhS1HWDabTbyyaDQqu42HDx9icHAQ3//+9wFcqgLpFp9KpeTizA1venoayWRSJNHT01OF29psNty/fx/n55dhvb29vQiHw/D5fMhkMlhYWNCfy+Uy6vU6Hj58CKfTiePjY7lu7+7u4sGDB1hcXMT8/LwWpCdPnuDBgwcoFot48OCB1LAMBs7lcujp6cFHH32k9z43N4fFxUWlHlCNOj8/j7GxMZH6Z2dnsbq6it3dXdy/f19EejYDb775JiqVioQRHKOtra1hfn5eCQX7+/sK/Cb/pXWMxPv63r17aG9vRywWw+TkpMYnvHcHBgbExaDyqVwuIxgMwu/3Y3V1FZubm4hGoxgfH4dhGEheRXh5PB4sLy9rxODxePDkyRO8++67cqnu7e3F8+fP8ZWvfEWdNl3anU6nEGaOB6kWnJ6ehsPhwNbWFmZnZ1U8klMDXHJoVldXMT09jWaziWg0qrHl+vo6vvrVr+LVq1fKLRwaGsLy8jLC4TCmpqZQqVQwNjYGi8WCnZ0dTE5OYnd3F9/61rdk/BgMBlEulxVF4/V6NaJoLYLa2trkdP9rv/ZrKt58Ph98Pp84idVqFS6XC4FAQP6Dc3NzGBgYwNOnT7G7u4vf+I3fkCCHhr/BYBB37tzBxx9/jPv37yOfz+Nb3/oW3G43Njc38cYbbygtgwXOnTt3MDc3J1sKPle0XHnnnXfw2WefIZ/PY2ZmRgWUz+eTjcLZ2ZkseiKRiLIsI5EItre3VYh2d3djZ2cH09PTQh2CwSDef/99lMtlFRczMzNSpzE5gcpPFkcPHz4EAJ3/zs5ODA0NaYz35ptvAsC1uK23334b8XgcJpMJt27dEnrd0dGBYDAoaxs6to+NjakJZ3amYRi6Fl1dXYqpm5ycRHd3N9bW1mA2mxEMBnHr1i2NRvnvyFft6OjAw4cP0d7ejqdPn8Ln8+H+/fuwWCzIZDKwWq1av5hIAECNQCQS0TX69V//dY2zOzo68Oabb+Lo6Ajz8/NShY+MjIg7SH8zqjJPTk7gdrtxcnKCcDgs5fD29jZcLhd2dnZwcnKCd999V59tY2MDIyMjuH//vpTcExMT2Nvbw8OHD+FyuZSiwBg1u92uwpwB9GyWJycncXx8jOHhYZycnODOnTvY3t7GgwcPsLu7K0uZ4eFhmEwmFItFvPPOO8o33t3dxdjYGAYGBvD666/j0aNHWl9oa+Tz+eRByhHwD37wA5lOb2xsYGhoCG63G0+fPlX0GO8tNnputxvRaBTPnz/HyMgIHj58iJOTE8zOzqJSqcj26v79+0in01hdXf3VK8a++93vfpuRQKxkHQ4HFhcXVQGzQ6X8e3d3V2gCjd94Mfj/29rasLq6qoWfXabNZsP29rbgeTom01gumUzi4OBAfDUicpubmyiXy9jY2IDP50MymRR0T7g0Go0imUyiv78fiURC74viA0qWuTmR4MpRKscN9J6if8329rakvel0Gm1tbZKt12o1ZZqVy2W5lnMk1N7ejr6+Puzs7Oi9HBwcIJPJ4Pj4WAq1XC53TdnS3d0t2TlHe+TvJZNJheBSjr++vi6lCUdCjBx68uQJwlfh5pFIBIlE4trmyutAaxJ23CSkM4uura1NpNdSqYR8Pq/xJK/h6ekpUqkUOjo69B6q1arMgkkMZs4loW921CRa8+eTs9HZ2alzRqIzidjktaRSKd176XQaW1tbihgiBE40iPcfRzUc6+7t7QmxPDg4kKcbLToWFxdhsViwuLioYp0kenZ7tDChr1RnZ6fsM2jVsb29rdEfvdBo0rizsyMnao7qtre31cEXCgW0t7frevP/cXxss9ngdrtVICwtLWF0dFTvkVYZNFrmiIMGpVST5fN5dfUrKytyek9eBaevra2J2Euhh9vtRiKRgMVigcvlwsrKCorFoq4DR0QrKyvKycvn8+LGcASztLSkESZd7ikEoPiAfJbT01ONj5jnx7FOOBwWclsoFMRJYbQQsyk5turp6UG1WsXGxoZoBVQhb25u6rzF43FZ3JDrwzEZg8FbaQr09OMobm9vDx6PR357vOfT6fS1NZcHMyVJv6CNTEdHB/x+P7a2tlCv18VXzeVyWF9f1zoRj8dRKBTQ1dUl89qLiwskk0kAEGJCQUEmk4HZbNZayXuEqm1aL7jdbhX2HFv39/fLNJc2IKenp8jlcuLnsdHjearVatjZ2dG9z0gyWptwjSSVIZPJ4PDwEOl0Wms41ylOHXZ2dmQHQ6S9u7sbqVQKp6enMt4l54trOj9zLpdTMPjW1pZEPxxB0jyXo/zt7W0UCgWN+PL5vAQodA0gQkdebKFQkOCL54njzq2tLYkjdnd3dY2I6nEf5nXiHsT7i4gU+Xw8n9zX+PkdDoeaO9qbULF/enoqmggFejzf5EBSBMC9YmxsTI0z9y3e736//5qIhcilzWbD6uqqFMQUgFG0RjsnTh7i8fg/runrP8bB7pLEOrpYkxxMlWXrjUxFHxfWw8NDuczTBJBKJXbflLFS9UKVW3d3t+bjpVJJM2yiDnQipmScGxEJgT09PeI9bG9vS1HX6k3CB4iwNjckmuFRQUmyNfkBRNaItjCCgm76rXEqHMPSvXtiYkLcHG6grTYL5J7Re4cPIqXcAMRjohcXFTVMEKBacWBgQMUurQH4f8iZ4Wvx/5J/RK4FuWj0C6OfGV+TxGjC6Lx3yOfgZ2UBSa4JH1ranRwcHOhnc0EvFosijpNjxAeY0TZ0Dqfz//b2tvgnVL/u7++LW8DxeSwWExmYAgbaDtBagnzAWq0mM8f9/X2cnZ1pBLGxsQGv1yv1HjdaADq3VFzxa7qp+/1+nJ2dSZXIBZI8ss3NTQCXxWQkEhEPhAv1yMiIiibC/uRecUxMcnE6nZYdxfn5uRSg5KmQD3hyciKeHYnZBwcHuocDgYDsJaiOI4WAnB5uyiQqcxTLsS5VrLyXd3Z2NC7kz+L9fnx8fC3onM8+C11aQnD8zrzOZrOp8T+bECol6SpPxKFVncZilvxJvoZhGMoKpEs916bd3V00Gg0VhLVaDYFAAPF4XBsvCez87FarFdlsVtFT5H5yjJRKpeSn5XQ6dW8D0HkFIAUsVWVUgfLe5ftmDBM3aJ4TbnzkWdGJ/vDwUHxDiivI9WUhSo4en2U2wOTicZ0ir4zrAzl8pEtwdMz7hyIxKutOTk5E8ia3mPcpR3KM5mIx2eqTt7e3p2aSnM10Oi1uLsdpVB7yd5LNmfTAsShpFBTvUPXPtZaKVY7nMpmMRrLkZPE5JhWl1eKE1jpU3nMd5mfkuaAwi6kxLMRoqkqvMRZYbAB4H3R1dakxPzg4gNvtxsXFhbizpGdwnE7uHD8L0WY+K+QkE0hgQ02j9dPTU3mgUcVONSvvJa5h3F+JvlI4QjoFuYUcnxqGofXl8zy+EMjYH/7hH37b5XLh2bNnGB4eRltbG95//3389V//tQJE4/E47Ha7SHqBQEBhxBcXFxq5cG4+NjaG1dVVBAIBhZ2S31Sv1zE1NaXYIsrfvV6vjPyq1Sru37+P4eFhFItFfOMb38CLFy/EuaC5KiXS09PTyGQy+PrXv46XL1/iq1/9Ktrb2+H3+7G2tobd3V185StfEYmUIxWGbi8uLqJSqeDu3btIJpOCXTmnprLr3r17KJVKmJ6eFiGXvk12ux0zMzMa3ZZKJeRyOYyOjmJzc1OZfRzT0VRxcnJSxQT5TV1dXepYScifmJhAPB5HOByWc7XNZsPExARu374tvsj4+Dji8TiGhoYk8z8+PsbExAS8Xq8WkcPDQ9y/f1+v02g08M4772hxMZlMmJ6eRjqd1vs0m81aGABoAaCKj7ysra0teSW5XC5tfvTEYqfOLMnj42O8/fbb2sDIkbJareIx/dZv/RYSiQT8fv+1IGT6DbHgY8Azi5jR0VF5wFFVubGxgWg0Co/Hg62tLcm4W53jj46O8P7774sI29vbq3ivzs5OhEIhjbPoX0ZeCzf8XC6Hd999F0+fPsXe3p5GLLFYTJzDRqOhkHcWEsfHx/jGN76hJicej0uxZDKZkM/nVbRRYj87O4tEIoGZmRk4HA7xDDc2NhR2/+zZM5Fr+/r6cOfOHanNyMUZHR1V40AD4IcPHwr1bTabmJ6exvDwMAzDwJ07dwBAIx+6tA8NDaFarSIQCGh0brFYNLZnczE+Po6VlRVEo1GUSiXxp7q7uzExMSEPpnfffRc/+MEPtJDPzc3hzp07ODs7w/r6OorFInw+nxSA5KTRF61SqWB4eBiLi4saR3E9CAQCCstOJpMyogyFQjJODgaDag6o1hsaGsKLFy/wwQcfwDAMNam0yCBniH5d+Xxezz7jpt566y0sLy/j4cOH+NnPfgbg50HY5L8STevu7kYymcTY2BisVqv4ZPRbI2rFMRxw2dR+8MEHODo6UsHLhuyjjz7C1taW7he/34/19XUh9oZhyJSYKmui9/Q85Oic8XCVSgUffvghcrkc7t+/j7W1Ndy+fRuJRELjJr/fLx5WOp1WE0ElfCaTQaVSQTwex9HREcbHx5FOp8WXDIVCskJiY7G/v4/JyUlsbW1hd3dXSRRvvfUW8vk8QqEQ3G63wuaJhvb19eHdd99FLBaTlQvR6lgsBq/XC7fbjVQqhfn5eTx9+lTFUH9/P95++21sbm4inU5jeHgYoVBICtGjoyMMDAyIr8ls0FqthvHxcYyPj2vaQyCDBRSTFtbX1zXFODs7QzweR6PRwMLCAtbX12WIGwwG8fLlS7jdbsTjcUxNTYmv/OzZMzXI4+Pj2jsKhQLm5ubwzW9+E0+ePIHX60UsFkOhUMDXvvY1GZUTYevr60M0GhVPdW5uTk3p/v4+RkdHkUgkcPfuXZyenmJ0dFQND5sN3nukgezs7AhdbTQaQrKPj48xNjaGtbU18Qxp2t7d3f2ryRn7oz/6o29/9NFHChQlnE5FYLPZxOzsLI6Pj3Hv3j1sbW0hn8/L7ZpkR9pHUCXk8Xjk7E7koFqtYnBwEMkrh3YA4jTwoRoYGIDT6VT3QcVRrVaTSzkNVDmGNIzLEF8e7JL29/cRDAYFexeLRRFOGV1DMi8RAXKlLBaLNljCpK0dGMUFx8fH6tipDMnn8xgdHVWBQOIjCZEul0uvxcWZKkWfz6fZfS6XQygUknIlGAwin8+r+2k2m0gkEqhWq3pIKWigqnVubk5K2VYn7YcPHyIejwOARqlEKFu7VHLJCGmTHNoafs6uNRKJoFAowOv1wu/3I5fLaWOljQO72dHRUXXJVEMS/eT7JGmdnjMcpY2Pj8tXjR0gCfi9vb3yGiOpmwpEh8OBQqGAYDAoFanP55O3EfkzDLelz9ft27cRj8cxOzsrc1FmpBqGodHDwcGBiipaI5TLZbzxxhs4OTlRMc1mgCghR+hc0Bh6vLm5CZPJhNHRUd2fJNxzQazVahgbG0OhUNCixs9rs9nUGDUaDZHT2eWS9N9KgOYzQaNLimbIheHzSASM6QPHx8eKWyGlgeRfUg2WlpYwOzsrpJOye/rjBYNBdHR0YGRkBMBl8cIA5FKppCKKqraLiwvxrogIkTYxOTkpexSOImkGTISWwfEkj7e3t+Pu3buo1y8zG2ndwUD38/PzazFZ+/v7ePDgAWKxGDKZjMY20WgUfr8fiUTi2rja6/UiEolIDEA/KsZy0faBpPVWax6iGeTOHB8fa1LBjXtzc1McV7vdjidPnoi/yYxTjhwXFhaUmUnbHG6SNM1ta2tTtBJ9zYhY8Nm9f/++1OIul0uE8Z2dHaFJOzs78Hq9MjblumW1WoWMBAIBNdivv/46XC4XPB4PrFarRu/keTKbkcayCwsLooXMzMwo+oyqPwoMstks5ufnta+RS0j+J5sbu92uNZ1xcVwHKRBibBcNkd1ut3zVGHfVaDSUREFyPF+bKCaf40gkIv9BCgHIGaOtSzAY1H6ZTCYxPz+PxcVFDA4O4uTkRGAKRUcul0vcsrOzM0QiEWQyGSHJtFAxm82wWq3Y3t6Gz+dTocsGgBFeTDKhzxvXIu6FNAAnas61l5w4ilQAqC7w+/2KCiRYcXFxgdnZWWxubqqpGBoaAgDtpWtra59rMfaFsLao1+vIZDLI5XJyzCbcDkCdAiW4AOTxxZELb+pq9TLjrb+/H/l8XgsKOT/sVhwOhwxlWXnTz4qjSvqlsIvheJOjzVYpPfkKNOLkgjk4OCipO83kqAQlJMrg2/39fUV9tJrbsRCilxFvUEq67XY7dnd3kc1mMTQ0JP8ijo44imDkB6XDrRyVWq0mFIHGgclkUlJ1SuUzmQwajYbc0PP5PHw+n5yUaUzLEUqhUMDOzo5EE/S0Ip+CyrBcLidRQut94PV6NRbt6+vTwskFjMILjkyYi8fxNf3AWDhyNEcDQiqM6DvVel4ZHs6xDDcVcqiIqNIChaMTjs1YVNCDiWNzIhZELbixMNKJHCCanrLII8R+cXGB1dVVSfgbjQYymYzMUDmmpX1AT0+PRuZUxdHKBIB+Jz+TNiHMbaSlB+91qj+p9Oro6EAmk5EnGhVbdMvmeeZ7YziyyWSS6z1l7bSs4LiealuKRDhCpKcf/ea6uroUw1QqlSS1Z74ix7I0MuXr0C6FfEXa0HBczvEQkQKOHzOZjEZL3KxpGcNCiSNeejCRx8fX4qiL/Bz+v1wuh83NTXkuZTIZIQksAur1OrLZLFwuF3Z3d+VCTlVyoVBAMpkUH4mFPTlx5C8CUMNGgQp5lGazWaNu5vU2Gg2JdACoIaJ1AQuKQqGge4jrLW0BSCmgWIm2GvTM46ia/Ezy3/gs8dqyUCOyxvfJaB76rZXLZY3uOeKnio48MhZSfL62trZwfn4Z45PJZKQWJseN9xb3BKItTIIhd5OKb05Q2tsvw9uz2aw+D6PxWMyz8CdfkkBBoVDQ+I+xbXSKp8EtE2D47NCbjnnMFPuwgGMuJMfOrc72pEDQ3qRWqyGRSGBvbw/Hx8cYHByUIS6fI06Vcrkc+vr6REdJJpNSkFKRTXX7xcWFwseJ+DLg3OFwIBaL6RyTKsHinff1ycll5jGRX47p6alHOgQ9IHlOuU5yTefeQOub3t5eRTlxDWm14/g8jy8EMvbHf/zH315YWIDT6RQqREsFEvrZBXg8Hs18k8mkpPvValVjCC7y3d3dODo6UlfHhWB0dBSvXr26ZsDIqpkPnc1mQzqd1piBHQ6LocHBQcRiMRlGdnd3X4tXaDQaioAJh8My0WR3wIW8WCzKGI9QcGtkhNVqVR6lz+cTh4PBqYzI4bkqFAoSPjDm4+TkBHfv3kUmk1HnwhFDK/pGHy5GfESjUZydnckMsbOzUzlsLH5GRkZUiHLj5+JPQ8GRkRFks1mMj48jkUho/EHon2aKrcRxktYZTntxcaEigB05N3F2rC6XS9LqtrY22Y3Qa4nSdxZLY2NjSKVSSKfTCIVCMqAkL4Rcjt7eXlitVqlR6bROUjbHd4wEcTgcGnW2Jizs7+8rkJvXK5FIYHx8HMfHl7ExJOyzwN3Y2BBszgxUjvhOT08xNDSEzs5OoSu0Xdnf39f4j2pJjonm5+flKcVmgJYx1eplFmdHR4dsQ2j10NrocINl8R6NRjU+ZWdOU2Kv14tPP/0Ud+/eVVFDRIFeYDabTcUFmyqOCMndpHWMy+USGklxBgnoHPcxm3JgYAAbGxuwWCzKnHM6nUqXcDgc4lHRNJbIJNVmLCQ5GqPVDo04m80mwuGw1q2uri7di3z+ad5aLBZlUknrGr/fr+tULBYxMTEhdJavHwgEZLRL9I8jt66uLo1O2GQwbotNJuX+fC7YmI2OjgoFoa0J+UrNZlOFrsPhUBPo8XhkYtrR0YFSqYTXXnsNP/nJT9DR0YHx8XHFWbWityS6M6OW/FUaS7vdbvEOaZ5MlSp/HhWHRFVPT09x//59FItFRQex8aKJd7PZFPXBbDbj5cuXmJubUyoI0zmYkwoAd+/eFamezS4pMU6nEysrK0LDmSBBj7zx8XGhOCweGXeWz+exsLAgHhdRGBYOGxsbUnC2UhD8fr9QoEAgAKfTKUCBVg0Mni+VSjI4b29vV3oBDWTZTNMCY3t7G16vV6pEOhAQxZyYmNCU4Pbt27o3WbDt7++rieZaFolENEa12WxSqZID2tHRIWoNmzZ6phEVp7u/w+GAyWRCb28vhoeHcXx8rGvFrxmbxp9H0IVWOyy+6CbAvGpGmVksFkQiEeTzedF+pqam8L3vfQ+3b99W8WexWBCNRnF8fIxXr1796o0p/+AP/uDbv/3bv41sNou1tTWUy2VMT08jl8uhUCjIkuCnP/2puF69vb2YnJwUadrtdmN5eVly1ZcvX8Ln88lNvlarYW5uDrVaTf5lvJm4USUSCQwNDckVn06+9Xod4XBYEDTVJLdu3UK5XMb8/DyWlpbkmF4ul1WkHBwcyFl6fX1dhH1udm63W6HDNEylpwkVdoStqZqMRCLyCmK3RXsLcolSqZRGhfQyKxaLUqOxK2v1YyORlsG20WgU2WwWDodD3JZwOIyjoyPcunVLSh66VHP8yLEgH/poNIrOzk6srq7K0JbO1Kenp9e8d8LhMMbHxxGLxeT/Ql80EtrHx8dxcHCAsbExQdMcIzJzs7PzMry6Xq9jZmZGZFTyZw4PDzE6Oornz5/j7t27SCQScLlcePHiBUZGRqTIqVQq2N7extjYmEaT1WoV8/PzWF9fB3CZE7i2tqZij6M/pixwRDsxMYGnT5/i/Pwy441h8CSCj46OakxHKJ0j9UgkokUqlUrhnXfeEYJFxI8NCJ3tb926JTIzCbZ+vx/Pnj2TJQTtLBgRQoSGi2wqlRJiSmPhVvsTKuva2tqwtrYGv9+PYDAodHNpaQnhqxzFSqUie4dms6mCieHWLpcL6XRa2XzpdFoLK/lQLCiDwaAoAhaLBWNjYwCgUdn09DRWV1eVXUrFFcek3LyJrrKrv3v3rtB3cmeI0gUCAS3srTYSRPA52mCYPMUlRMa5uZrNZiE93EA/+eQT5HI53Lt3T7FgbAQGBgYwPT2NZ8+ewev1IplM4oMPPhA/0Ol06vxSgEKneaK8AK7lQUYiEezs7CCTyVzL3mMxzcaOaCZH/I1GA06nExsbG2q4KOoYGRmRZcLQ0JAsg5gKQof+bDarkRc5ki6XC5ubm3jvvfek4CSlgCbLmUwGs7Oz11I+2ISvrKygVCrJQ5KWCRyp0ufN6/Xi9ddf13W32+1SNPt8PiUnhEIh+aMZhiGz6FqtBq/Xi8HBQRiGgUAgoLEzY3ui0SgqlQpWVlbQ0dGB1157DW1tbXj8+DGGhoYQCoVkbUJKTTQaRSwWQzgc1vV68803sbu7i2azKfufTCYDj8ejSQdFaywiWWTRIYAjfvrt0ZuMxsC0LWGxtrGxgZ6eHoyOjiISiahgW15elpUUJ0Wnp6eIRqMYGBhALBZDrVbT80XO39jYmGg9mUwGkUhEPmE0ZjabzZiYmJAimmAAnQoo7gmFQrIL2dra0t+R+kGU0WazIZFI4PT0FJFIREK5/v5+LC8va4JCER4FY2azGQMDA6KfRCIR9PT0KBuTRTPv4eXl5V89NSUAvHjxAul0WjD40tISfvKTnyB85VlC8uXGxgYKhQJevnwplKdWq+HFixfwer3Y2dkRXJtOp/H48WMZnq6urirEdXV1VTlmjMWxWCx48eKFuE6UKF9cXMBqtWJ5eRmHh4f47LPP8Nprr+Hp06dIp9MoFApa7GnJcXZ2huXlZQDQYmE2m/HjH/8YH374Iba2toQKjY6OYm1tTZU6lWdjY2MyWlxZWYHL5UIwGMSjR4/Q2dmpzQy4VI1RRcoRBg1Mme+1tbWlcRr/rq+vT1366uoq/H4/zGazlFu00aDL9OrqKmq1GjY2NhCLxaS+GRwcxLNnzxAKhWSFwc2zp6cHP/rRjxAMBsVpevToEYaGhpBIJAAAn332mRRLJFCTv9CqzOnu7sZPfvIT7O3taZTDBYg2JxwvDg8P48mTJ1hdXZWS7dWrVwBwbUP56U9/Kqf9zs5OvHr1CoVCQeOhcDiMJ0+e4Pz8HI8fP5YfWSwWQyAQQCwWg91uRzqdRiwWE0H12bNnuLi4wK1btyTXpqpoeXlZtgkch3Ccy5EkI0wsFgtWVlZUtD1//hxdXV149OgR3G43hoaGdE1YpK6srCh7kAKAnZ0dPHnyBK+99ho++eQTjaozmYxQvFgsJhUbF+N6vY5EIoGNjQ10dHRgZWVFGxg5V+RmLi8vy/yRY8FcLofFxUXMzMygXC5jwrFBJAAAIABJREFUc3NTOakcL9jtdiwuLqLZbOLHP/6xiPUcXwOXVgcsZp4/f47R0VF8/PHH8Hq96O3tRSKRAM2j//zP/1xxT48ePcLFxQUWFhbwwx/+UBE9jx49UvQLLUweP36MQqEAu92OjY0NIWK0JaCfVK1WQzwex/j4OIBLxTTHT4uLi0Lp9/b2MDs7i0wmo5ELACmJ2XBywX/69CkWFhZQLBbxwx/+UA0V7Wr+4i/+AgDw/e9/Xx5iAGR5waQGjno++eQTjIyM4Pnz56IBEHEjyXxtbQ2bm5uiGaTTaY0CmcfZqhim3P/ly5eKtQkEArIt6Ovr04jxhz/8Idra2nDr1i0kEgmNjGOxGO7evYtGo4FXr14Jyf/TP/1TqUGJkrGI5+efmJjA1tYWAGB/fx/RaPSaiejFxYXSQejNSL4u13uOq5hEkUgkcHh4KOsLRh6l02k509P24vDwEB6PR2rqcrmMBw8eoFwu4+XLlyo+y+UyFhcXNbaz2WxYXl4Wd5HTE4o7enp68PTpU016mH25vr6O999/H3/5l3+Jzs5O7R0ccQ8PD6spf/XqlZp/opHRaBR/9Vd/BZfLhZcvXyIQCODFixdwOp1wOp149uzZtSSbVColNJSZt41GAx9//LF4tlQ303plYGBAdlEcwXO/tNlsUuovLi7q3uAoGrhsOl+9eiXbIHoSdnV1yZuRnMFPP/1U3mDn55eZz8lkEvv7+5iamsL6+joCgQA+++wzcaqJonG8TUUyTblpg7K0tIRoNKpzTOcGGgjTeJeN+Od5fCGQse985zvfnpmZQTqdVhf73nvvYXt7G6Ojo9dIfpSlj4yMYHp6+lp+28XFBXw+n/LTms0mfD4f3G43zs/PsbCwoAtx+/Ztzcjp0N/d3S0FXrPZxPz8PILBIBqNBr72ta8hmUyK99TV1aVi0OPxyJvk3r17ODo6wr1792SiyLDdyclJAD/P26KajKoXs9mMqakpiRiIzDHPzWKxYHx8HF1dXYhEIpIME2oPBAIYHR1Ff3+/RmEkhLfyLIgqBAIBDA4Oarbf19enz2+xWMSlotNyMBgUYnjr1i2NkILBIO7evQuHw4FqtSooeXp6WuRQ8ux8Ph+y2awe9rGxMZHNDcPAwsKCnP67urqwsLCgOCF+ZqpA/X4/2tvble9G8iah/VZ1J78eHBxEMBgU5+3g4EBO76+99hrK5bK8wGii6vF4YLFY8Ju/+ZvIZDIIXxmykrjd1dUFv98vuH1sbEzO+HNzczJi5Wixt7dXaCedolvz/zhmPz09xcOHD1EqlRAMBsUxouKHSIfNZoNhGBgYGMDQ0JAQFbfbjVwuh5mZGfG0pqenNWIwmUzwer2w2Wzo6+tTGDGJ7/fu3dNYrFqtotFoyOaDyCZjegzDQDAYRLPZxL1794QcdXZ2SrhA8i3vR6vVirm5OYkVwlc+dK+99hr29vbUJAWDQYyOjorL1NbWhrfeegs2mw1er1cIOUetAwMD8ig6OTnBxMSEsh59Pp+yNqkknZmZwcHBgVIYWlVVIyMjMJvN6O7uxp07d7C+vi4u4uzsrJ7XfD4Pk8mkFBCr1Yr9/X3MzMyoqOjp6dGokmsI0W1maw4MDIib4/f7MT09LUSNz7DL5cLw8LCoDFzbKJywWCwIh8MSV3CE39vbK+5PKBTSKOe1117DwcEB3njjDVnKkDJCegI5RozsGRoagt1uVxYqcwg55qTYobe3F16vF2+99ZaoGfz3ZrMZb7/9tsathmHg7t27iiEj5YDj7P7+fpnScv30er04OTlBIBBQOsHR0RHee+89lMtlvP7668hms1qL3G43RkdHMTw8DKvVqkKfWaf9/f2IRqPysiRvinsI11WHw4GJiQnRVGg1Mzk5qUlMoVCAw+HABx98IHuaUCiE09NT5QeHw2HYbDa89dZb8mMj3+nu3bvIZrMIBoMaldOElxYZdBRgLF8kElEwt9vtVuborVu3tK5xpBcKhSRQIN+OquPBwUGJOSguaEXMA4EAvF6v1kda2DSbTXg8HuTzeYyPj0sJyognu90uhJlj3tu3b+PDDz9UEUj7kpmZGXEk+TmazSZef/11iQNazaypOK5WqzoHExMT6OjoQK1WE+WIhSFHveSJAVA9wWtAUQOFXVTm9/b2YmVl5VcPGavX69jc3EQ2mxWRj10KY0JoEso8Lp5AxneQWM8ssPn5eSwvL8uAkwZ6vOEODw+RTCYxMDAgpRcVakSQGEpMIiUJsCcnJ+jr60OxWFR3RBJ+o9EQwkF4lp3owsKCvMCo9KHzNVEmboj0ZCExk14utKUgogFAoxAuYFSXlctlRcjE43GFZzMjrqurS8UFR12tnj5UZtZqNXFtYrGY4FuOEyhVz+fz2uRzuRysVis2Nzc1n+dojH+mlJxeQDQMXF5eFkJ4enqKtbU1cV04hjo8PBQRmJmNY2NjiMVimJiYwMbGBt58800kEgnU63VtIhy5OJ1OjZN2d3fVfZtMJmSzWXR3dyORSKjIoUqJqiqah2azWXH2qDJlrNTOzo4W666uLmVuciw8PDws3x7mehKNAKCxLEnXm5ubsg5YWVkRr4IEfxawzEXN5XIoFotYWFiQ1xE5disrK+KBUElG8vvJyck1Xke1WhX5nKTkdDqN8fFxdZ5HR0fweDw4Pj7G9vb2NR4gn0+Px4NMJiO/Kt7f5AsRBaNXFBGZfD4Pp9OJ7u5uxONxycvpzcdnkfc8if5ms1ncOI7xUqkU9vb2MD8/r/Wg0WjInHdvbw/xeFwj8s7OTnXfFxcXMr6lcIG+bwcHB8hms3J2J6rS19entWR3dxfBYBCJRAJvvvmm0C7mBdLrr1gsyjzY4/Hgs88+QzAYxNTUlO4/jmCj0aj4TERAGQ9FdIgbCo2ja7UaksnkNT+8nZ0d1Ot12cw4nU5dr1qtJmU71cP0NeS5bxVRkfR/eHgo807mTFI0xREoPcKYQpHL5bC6unpNEHNxcaEmjAgjBRiMAGPh3Ypici/IZDIapXV3d+Pi4kINFsUMZrNZpHEWk9FoVP5t77//vtAoFqxWqxUvX75Ef38/gEtDU/KNaFRcKBSQzWaRTCYxNTWlzFGOkmlIS25TqVTSPb+xsYGtrS3xrZaWlvD2228LTaW4jOIEGl1bLBa9n1QqhampKYmNqO4vFotaB/f29rC9va3GjusOEUY2y1zvKKQLh8PY2toSXQQA4vG4TLd7e3uRyWQwNTUldTmfMyoi8/m8TFjPzs5k0kuSfltbm64bYw452WGhtry8rOeNtI7JyUl5jVE0Q84jOZLApW0To48YhTU5OSklv81mw8bGBvb29jA0NIR0Oi3R2ed9fCGQse9+97vf/spXviIZNQB4PB555pjNZgwPD4vHxNGJx+PRYkIvK8Mw1EWyo6NENxwOo7+/H1tbW6pwiSbQS4icrq6uLnWOzIAjF4Ju9PSbGh0dxc7ODqrVKjweD9LptIjNhmGIiApANzaDdT0ej/hf7e3t2tBqtZrc7Xt7e6+pTNkVUaZMPzPya9rb25FKpRAMBmWayo6bXVF/fz9MJpNQtNPTU5TLZbjdbmW28abkAkUyaKPRgN/vFzm3r69PP4MLMjuZzs5OzM3NAcA1KwHyrqg04/umNxUNBUkCpv0CVVLkHtlsNnXnHR0dsmSg0IBWAsFgULYn5FIMDw+rUNvf35fNh9frlc9bW1ubOFLj4+P4+OOPMTg4iFAohOXlZY12WAzwOlWrVW3muVxOXSXHr8zl9Hq9Uu4FAgGNzsmrCoVCSCaTGB8fRzabRSAQwNnZGW7duqUFnBshi/vh4WHlw3GMRKd4LuAkAVcqFTQaDf27VCol/p/dbteYIhqNwmQyqQu22+3iN9J2wWKxwOl06r6k0fDU1JQKVF5H8kLIceLrM92iUqnAbrejs7MT4XBYzcbx8TG6urpgt9uvqVC7u7tlGloqlYTmclOkqSVHSBylcK3hOHh8fFxjdxLsSRznujI4OIjBwUGpNvP5vEjURL7sdvs1nhXfE2N6qNbiZyVXi3YKfN7Ia2MMVnt7OxqNBnw+n0j14XBY5p9Udw4PD4toTe/F3t5eTRpIGSD/h55lhmHIJBuA+FpEEokKMQSeY1xGINEst7+/H7du3dLIlyICIivk6rJBpOrS7/ejUqko/7JVREASNxXOnJb4fD6pj30+n/JkiSZlMhmpmQOBgDiNNC/lfdaa5To8PCx7DovFoo2YophIJAIA8gnje7BYLHC73bJ0YNFF7l6z2RTXmOsMBUXt7e2yW7BYLJibm1PTwfdOXi0L4YGBAd03RElZoDKVgQgp1+bWRBgWPCx2ebTaMQUCAZyensLv9yttgTQEj8eD7u5uVKtVcdjoc9lsNrUOMzc5EAigUqloqkEqCik5Z2dncgSgWhuALD040s/lcmoauZ8w1YIjZirruTaGQiF5ipHeUq/XdR24L7IBn56eloiJnowAFPGUSCR+Na0tGEVDdIkbPefBbrcbR0dHWmyJTNCAkWozwrAkyzNyyOPxYG9vD6lUCl6vF/F4XKPM/v5+oTX0iWJQ8NbWltAuqmI4z6c0ls7P9BhyOp2SdrPwY2YeC8toNArgEvFbWlpSHiUjIZhPR3UpDS+fPn2K7u5ucRBIOKVjcDqdvsZz6OnpwerqqhYneh2xgDIMQy7dOzs7WFlZkbko1UdU/rW1tWFiYkIbGwUIdK9Op9PibNEGgNA4SfOvXr1SAcHIFBKc6V1D9eP29jaSyaSy3xYXF8W5oQGg1WpVKDU3xd7eXqGI7IhyuRzS6bQ2YY5b6dxMBIW8BMLSAIQora+vKxrJ6XReW0zp8E3xA9HFcrl8DWECICduniNC5DabDalUSuhVNBrF8vKyxAd2ux2jo6NSBlEgwbEUfcHy+TxKpZJGCQxn7+np0Tiu1VCYXCL6P3k8Hvh8PnH3hoeHNRJdXFyE2WxGvV6Xv1S5XEY4HJaIpVqtYmVlRXw/+itxI2CTkEqlUCqVkEql5KHV2dmpc0/LBiJbnZ2dcLlcaG9vR7FY1Pif9/vu7q5GsCxuiMzRNPLo6AhDQ0Po6emRLcCzZ8/g8XjQ1tamRZuqyXg8rjFyuVxWoUvEiyhqMBhUNiDRw0AgIDUZxRWtn4lcVBYgxWJRVIyRkRGUSiV5gHHE7XA4pHas1WrI5/NwOBziTzJZgoUNC/bj45+HgttsNgU7M8Kns7NTcVOGYSASicgWhj5stMvhWJkICNe6QqEgX7pgMKj0APJA2awwimhgYECWB7VaDVarVa9FNS5pFIyG43q0tbWFk5MTGXtTTORyufQcvHjxQnSGWCwmdJzxZRybEekcHBzUs0pPMhrRfvzxx+ju7ka5XFa8HnlGRA0BIJ1Ow+v1wuFwSCBGRSYtR6xWq6Kt2MQXi0Xk83ntYVS3c+rg8XikTub5odCMkxau07u7uxKEcUrBFBh6OXZ0dGB1dVWGtzRTpecbTa2Z1kJAYGJiQqgx44ey2SxKpZIQLLPZDI/HowKU3GbSbYh+Z7NZ2XBsbGzg/PxcPnUdHR3il1EgQSufly9fotFo4OTkRPw9NvE8P59++inK5bIavHq9ruQH2mkwvqv1nuRzuLW1hY6ODiQSCdjtdhWI5DNyavZ5Hr/QmNIwjCSAYwB1ALVms3nHMIwBAH8CIAwgCeA/azabB8Ylfve/AvgIwBmA/6LZbD79T/18xjJ0dnZiZmYGwCVSwrk6q9W7d++qQiVC0urfREVeX1+fpMZHR0eYnJxELpcTNE0fGpqe0qW4o6ND5qLVahWjo6OKRHE6nVhfX5d6j6awXJTJ1aHrN6MsvF6vOuKFhQWsrKyoICD/jKgfOTDValVGrETGaOsxODiInZ0djI6OIhaLweFwKLW+Wq3KM2xkZETIB8N1bTabOBvNZlNkWhYdb775pgjKk5OTUk6xs+W41e/3y+aBcnqiOFTbWK1WxXGwY5uenlYsFTtAqlc5khocHFSnQznx3t4e2tvbce/ePdjtdqyvr8tXiXw7mouy+KNHzNTUlMYSNOzl4uN0OiXucLvd2kB2d3eFPPFeI0elv79fvnfs+ogYMpqGZsJc2MiZ42fv7e3ViJFKJo70/H6/uCn1eh2BQEB5d4zr4GvxHNJAkcoij8cjs1OmGABQt8moIiIILpdL926lUpFkfmpqSiP58/NzuFwuOcyfnJzA4XBI9Xl8fIwHDx4I6Xr99ddVVLa1XQZPU91H/6mZmRkVosyd4zWsVCp46623hEbTT4icGsY+pVIpkZVDoRB8Pp8oC+FwGH19fUilUkL68vk86vU6TCaT0MqZmRmpYenDRmSRzy4AeL1eoWZEIHh/tW50LMJ4XmhcS4SSaFYulxN5e2JiQghlrVZDR0cHotGo0Mx6vY779+8ra5fWIHfu3MHp6SmGh4c1mqP1BXk7LIDpn0QVKDf4QCAgpJ8iCZvNhsHBQfnv0TyVfFAACIVCEgzRc8rtdmttpjKPEwimcYyPjwvx6O/v1/3QbDYVJURbIqpN+SwcHh6Kq2symRAIBNDR0YGFhQXs7OzIBiIcDqsJoMEzLXcoOJmamhJdgxQNIiGkLNDSiOplGpXyXAOXNBHyovh+bTYbJicnkU6ntd/wvLJwGx4eVnPH6QWzNxkDxDWSqt1CoSCj60qlgpGRkWtWEESwiIjx2rD5PT4+1hodDAbl40h/S5/PJx7j4eGh+Lg8OLki35QZsrSFIuLEn8XngJMSAEJ1eU8Bl4aqVBPTDuT+/fuyoOG6NzMzI+88JlEwAo2ocKPRwDe/+U0sLS2hUqlgYWFBKPp7770nw1iXywWTyaTn2G63C12mypI8ZP47NgnMIv48j78PMvaw2WzON5vNO1d//n0AP2g2m6MAfnD1ZwD4GoDRq1+/C+B//7t+MOOMGo0GFhcXsb29fS04dW1tTZUyfbYMw9CF4PhjaWlJ45BPPvlEXdbe3p5InxsbGwp7JXJBvsGTJ0+0GQEQjL+7u6txCNWCP/rRj3RTc6xG/gOhX5fLpZiMRqOBly9fKt+Ln48qTZK2k8mkIjaSySS2trYEwaZSKTx9+lQ5kJSiE3IOBoMyySTKV6/X8erVK1gsFqRSKSFavLlIumfu4uLiIo6Pj7GysqICgt0zkZNisagNgaagRKM+/fRTcevoem61WuHz+bCysoJsNotHjx6J83d4eIhYLKZRG/PEFhcXZZ3AY3NzE0+fPoXf779GCqfLOY0GeW/EYjGUSiWNvHO5HPr7++X3U6vV8PjxYxXkp6en+NnPfga73Y6trS2pNBcXFwVd09S3r69PqANl7SSK5nI5JJNJnd94PK6N4vnz5+Jf0baDnLfOzk65urcmPxCVJTexWq3C5/NJCMDQZXqeEYEjmZU5hhznP3/+XBYY7C4Zd0M+ps1mw/b2tgx2OZZYWlpCqVRCuVzG+vo6kskkVldXYbPZ8Pz5cxWU2WwW2WwWr169UqLCysqKFkEGlLMbTqVSaDQaSCQSGmmsrq6qASAHKZ1Oq3tOJBIapdCHLJ1OS0mcSCTw+PFjFXckCJN30t3dLSVdZ2cnlpeXtfHQKoDrCX8npxKANuVWQ1zSDMj9GRwcxObmpjwOyaV7/vy5ENm+vj4sLS3hxYsXAKDxKlH3/v5+DAwM4OXLl1rz6PFGhS6vIxFDWkecn5+rIGCQ+MXFhRzaGc3Dz0VkrdFoIJVKid9FAQw9+C4uLoSGbW1tKbaKSQZsZtmosChgegYbX6IdNJjlxIAILnlj9XpdWZ3b29sK985kMmhra8OLFy+k8iT/lugwg7JJG2ATls1mYbPZtJnTRJzPOVWVvb29sh7hteeUxu/3ixtFdIdk8qWlJQCQWCAej2tU7na7pZRnw0o18fn5Zag2vcJMJpMmLBwHHh0diVeVSqWQyWR0f9EIm8bba2trOn8mkwkvXrzA4eEhNjc38fjxY9ne0J6G9jYcOxuGgd3dXVitVlng8Lmj4GtlZUVuAIziI4eZ9KFkMql71WQyIRaL6frWajXtcQRm1tfX8b3vfU97Q3t7O2KxGMxmM5aXl7G5uSmuKoswNhoff/yxeLjPnj0T+v7o0SMsLy9rL6KqM5FIqFH/+OOPkUwmhRASEcvn8xqNN5vNX6ho+vsc/3/GlP8MwL+6+vpfAfhGy/f/z+bl8TGAfsMwhv6Tb6KFrOlwOJSWTsiQCI7JZBL0SIIds8I4W+c4gmgL3fTp/ky34NZOiAoyZv1x9t9oNBSJRDdjxvXwJiRydnZ2pg2BF44huRydms1m/WxGOXAsytEn/y0NCXmTsRhkSC7DrSklPj091RiOoyLyS8ifodya3C06/dfrdQCX42LyRloRCy4ADI2l8oaLGEnLPL+8pnTt52ZG7g5HQgDkaUSiOrl/RK6YY8jPHw6HNUrkokUT3GazqfFsuVwWv4+LMk05OV6gnxDzLQ8PD8Wf6ezslOtyazg7rz/NGmm5QrIyxzK81iTzkh81MDCgz3l4eKjFljA8rUqofGXsD5sHSvwZFM/7pDUQ2Wz+eQ4h7w0iQaVS6dpYvV6vo1QqyUuLzwW9jbjJ08/M6XTq/dLPjaPvnp4eiUIsFosI2uyI+X+IKJBPR+4k0VGO0VnMdnZ2ylWbfCs+WwcHB1qo6W/HZ5aoAu/Rg4MDOY0TWeQo5/z8XOaSAIQO8H1znWh9NnK5HPL5vIQXHFlzA2OBwc2G90+1WhWqQHSAxTl5WI1GQ/cf1znG/FDYQgEM7yUWXETHWdjTW4+j3tbnlWIUenHxGvCzUHlGhIhROTRdJfrJsRGfDwAqwllclkolUQEYks0xG0dXtNBhBBXPBbmbLBTISeS9TLU5izyKiejvxjWa46pYLAaTyaTXbf28tMmg6q+Vi0bUnegsKQmkR3DN5DNCmyKu7SSpsxDk/UARAt8D7R2493BcSXUsR9H0PuMkgueeYpNKpSKlP/dHxvoQHaWVE8eppC+QfgJAvOZSqSTaBJE6TotIqifST3oPzwmnRWwWOe7kGJWvw/2eBqtc0wGIVsM1pVQqiZpRr9eV48p9k8Iz5tZSMU17G64TVPeenp7C6/XC6XRqDWJtQRS3VqspiP7zPH7RYqwJ4P82DOMzwzB+9+p77mazuQMAV7+7rr7vA7Dd8n/TV9/7fz06Ojrg8/kwNjam2e/+/r4IgzRd9Xg8CIVCKqjoKUb3ao7JmJPWSrJkkVCv1xEKhQSp9/f3w263w+/3S5ZLzhg9ZQYHB7G+vg63262xIxdwIi1tbW3wer0Kh85ms5LEMieOZqC0JeAYkYgbVS4ej0cZYG63W1A0u2LmydHslM7C/f39WF9fRzweF78mFArBZDJhbm4O5+fn4jOw6KVkmzfg4eEhwuEwhoaGMD4+Dp/Ph2AwqJFPKBTSiNbpdMrlPplMXlNTUbDg8XgQCASkFiOvq6enB5FIBFtbW/B4PBgaGpKzNTdgKstmZmZ0nllEcGTocrnE7+ju7lamICXKNMslX4kwc61Wu9aFk/vWei55b5DDEY/HRaCncIBh1b29vejv7xfywqDr1vGAYRiK+CCHi+71fB0AWiwCgQDW1tbgdrtFOo9EInJApykl70tatFDMQVdtph2QZMzxRKslCv3Nenp6MDY2BrfbLaWty+XC+Pg4PB4P+vr6xOHj+aZFSblcFtLKxdjtdiMUCuHi4gL9/f2IRCKym7Hb7Wg2m0KNqtUqQqGQRkHDw8MYGBiAy+VCKpWSYpavRePMVColBRifZRbEjM/q7OyUqSefCRbkNpsNHo9H+aihUEhZmTRCNplMSKVSGBsbk5UNi+Ouri6MjIzIc4z3AknQU1NT8Hq9uH37tsb5RHQdDgdGRkZk6nt0dISxsTEFurOp8Pl8EqdwE+MmEw6HFUfldrtVIDscDv2ZRHeiQgw9DoVCKBaLcDgcSKfTCIfDeq1ms4mhoSFZfHBcz2xLFmI0OmXRQ0sD+tAR5aC9gN/vx8DAADweD+LxuOgORNyGhoYQCAQwNDSkc00zZ4qcWgufyclJnJ2dYWxsDAMDAxrtc6OnmTCtfJhWUCgU4PP5EI1Gdd1puxGNRvVex8fHcX5+jqmpKSGS9AKk0bPX61UzHwwGMT09LUVqqVQSjaVcLiMajWJiYuJyE726PvF4XEaqPp9Pex+5iG1tbUKjIpEIJicn9R4ZNB+NRtHW1qZ7ZmRkROs6c0EptmGeL6kO4XAY4XBYtjC8bmazGZFIRHZAU1NTiEajSnfwer3Y29uD0+mU0Ke/vx8TExOoVCpCwUdHR3UdWZixMae/J/mvTO1g/vTY2JhsJbjeUjCTzWYxOTkJr9eLQCCg+5e2LAcHBzg8PBTvkM8SrYLoZ9jf34/R0VEJNmw2G/x+P9bW1rTncf0dGxu7Jnb4vA7jF4HbDMPwNpvNrGEYLgDfB/DfAfizZrPZ3/JvDprNpt0wjP8I4A+bzeZPr77/AwD/Y7PZ/Oxv/MzfxeUYEwBmACx9Lp/o5vhlHE4Ae7/sN3Fz/H86bq7dl/u4uX5f7uPm+n15j/Fms9nzef2wX4jA32w2s1e/5w3D+PcA7gHYNQxjqNls7lyNIfNX/zwNINDy3/0Asn/Lz/yXAP4lABiG8aSFi3ZzfMmOm+v35T1urt2X+7i5fl/u4+b6fXkPwzCefJ4/7+8cUxqG0WUYRg+/BvDruESx/gzA71z9s98B8KdXX/8ZgP/cuDzuAzjiOPPmuDlujpvj5rg5bo6b4+a4fvwiyJgbwL+/ItCZAfzrZrP5F4ZhfArg3xqG8V8BSAH41tW//79waWuxgUtri//yc3/XN8fNcXPcHDfHzXFz3By/IsffWYw1m80EgLm/5ftFAO//Ld9vAvhv/57v43Nzsb05finHzfX78h431+7Lfdxcvy/3cXP9vrzH53rtfiEC/81xc9wcN8fNcXPcHDfHzfEPc3wh4pBujpvj5rg5bo7B7TNVAAAElUlEQVSb4+a4Of6pHr/0YswwjA8Nw1gzDGPDMIzf/7v/x83xD30YhvF/GIaRNwxjqeV7A4ZhfN8wjNjV7/ar7xuGYfxvV9fvpWEYCy3/53eu/n3MMIzf+dte6+b4/A/DMAKGYfzIMIwVwzCWDcP476++f3MNv+CHYRidhmF8YhjGi6tr9z9ffX/YMIzHV9fhTwzDsFx9v+PqzxtXfx9u+Vn/09X31wzD+OCX84n+aR6GYZgMw3hmGMZ/uPrzzfX7khyGYSQNw1g0DOM5FZP/KGsn3bZ/Gb8AmADEAUQAWAC8ADD1y3xPN7+aAPAOgAUASy3f+yMAv3/19e8D+F+uvv4IwJ8DMADcB/D46vsDABJXv9uvvrb/sj/bP4VfAIYALFx93QNgHcDUzTX84v+6ugbdV1+3A3h8dU3+LYB/fvX9fwHgv776+r8B8C+uvv7nAP7k6uupq/W0A8Dw1Tpr+mV/vn8qvwD8DwD+NYD/cPXnm+v3JfmFy6xt59/43j/42vnLRsbuAdhoNpuJZrN5AeDf4DJO6eb4JR7NZvPHAPb/xrf/vvFXHwD4frPZ3G82mwe4NAv+8B/+3d8czWZzp9lsPr36+hjACi5TMG6u4Rf8uLoGDGRtv/rVBPAegH939f2/ee14Tf8dgPeNS+n7PwPwb5rNZqXZbG7+P+3dvWsUQRjH8e9T+AaC0WCXQgMpbERBbGIRRAJGsUohWKn/gJUgAf8EsbHTUixEhXQiJtaKGN9Q8QQ70Sra+vJYzHPnIqvk4O6eXe73geG42eG45Qd7c7MzO5TV7YdHcApjz8ymgBPA9XhvKL+2G/q1M7sz1vfWSZKm3+2vlG0DxG2Pg5QRFmXYAnGLa43yIO0HlFGRdXf/EU2qOfQyiuNfgUmUXaarwEXgV7yfRPm1ySC2f+w7vw09gX+IrKZOyzvb5V8ZKttkZrYduANccPdv8azA2qY1dcowibv/BA6Y2QRwD9hX1yxelV2DmNlJ4Iu7PzWzuW51TVPl11yzXtn+0cze/qftwPLLHhnb0NZJ0gifY/gV29j2V8o2kZltonTEbrr73ahWhi3i7uvAI8pclAkz6/55rubQyyiO76BMMVB2OWaBU2b2kTLt5ihlpEz5tYRXtn+k/Bnqbf8Iw7t2ZnfGngAzsdJkM2UC43Lyd5J6/W5/dR+YN7OdsfJkPupkyGLOyQ3gjbtfqRxShg1nZrtjRAwz2wYco8z5WwUWo9nf2XUzXQRWvMwgXgZOx2q9vcAM8Hg0ZzG+3P2Su0+5+x7K79mKu59B+bWCDW77x/6vnQ1YubBAWe31AVjK/j4qDnAL+AR8p/Twz1PmMTwE3sfrrmhrwLXI7yVwqPI55ygTTzvA2ezzGpcCHKEMib8A1qIsKMPmF2A/8CyyewVcjvppyo9xB7gNbIn6rfG+E8enK5+1FJm+A45nn9u4FWCOP6splV8LSuT0PMrrbp9kFNdOPYFfREREJFH2bUoRERGRsabOmIiIiEgidcZEREREEqkzJiIiIpJInTERERGRROqMiYiIiCRSZ0xEREQkkTpjIiIiIol+A1rafnUl9xe+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *The bright rows indicate that there are some test images which are not like any of training images at all. The bright columns indicate that there are some training images that are not like any of test images at all.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ They will all change the classifier. \n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$ Adding anything within `Abs()` will change the result of it. Based on my test, operation 4 gives highest score. For operation 5, if we rotate the image by 90 deg, the classifier will not change.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n",
      "CPU times: user 18.8 s, sys: 2.76 s, total: 21.6 s\n",
      "Wall time: 21.6 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "# OMG, which is even slower than vanilla method...\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 28.558620 seconds\n",
      "One loop version took 21.630585 seconds\n",
      "No loop version took 0.118387 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "X_train_folds = np.array_split(X_train, num_folds, axis=0)\n",
    "y_train_folds = np.array_split(y_train, num_folds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.239000\n",
      "k = 3, accuracy = 0.249000\n",
      "k = 3, accuracy = 0.240000\n",
      "k = 3, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.254000\n",
      "k = 5, accuracy = 0.248000\n",
      "k = 5, accuracy = 0.266000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 5, accuracy = 0.292000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 8, accuracy = 0.262000\n",
      "k = 8, accuracy = 0.282000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 10, accuracy = 0.265000\n",
      "k = 10, accuracy = 0.296000\n",
      "k = 10, accuracy = 0.276000\n",
      "k = 10, accuracy = 0.284000\n",
      "k = 10, accuracy = 0.280000\n",
      "k = 12, accuracy = 0.260000\n",
      "k = 12, accuracy = 0.295000\n",
      "k = 12, accuracy = 0.279000\n",
      "k = 12, accuracy = 0.283000\n",
      "k = 12, accuracy = 0.280000\n",
      "k = 15, accuracy = 0.252000\n",
      "k = 15, accuracy = 0.289000\n",
      "k = 15, accuracy = 0.278000\n",
      "k = 15, accuracy = 0.282000\n",
      "k = 15, accuracy = 0.274000\n",
      "k = 20, accuracy = 0.270000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.282000\n",
      "k = 20, accuracy = 0.285000\n",
      "k = 50, accuracy = 0.271000\n",
      "k = 50, accuracy = 0.288000\n",
      "k = 50, accuracy = 0.278000\n",
      "k = 50, accuracy = 0.269000\n",
      "k = 50, accuracy = 0.266000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.270000\n",
      "k = 100, accuracy = 0.263000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.263000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "X_train_folds = np.array_split(X_train, num_folds, axis=0)\n",
    "y_train_folds = np.array_split(y_train, num_folds)\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "for k in k_choices:\n",
    "    k_to_accuracies[k] = []\n",
    "    for i in range(num_folds):\n",
    "        train_x = np.vstack(X_train_folds[:i] + X_train_folds[i + 1:])\n",
    "        train_y = np.hstack(y_train_folds[:i] + y_train_folds[i + 1:])\n",
    "        val_x = X_train_folds[i]\n",
    "        val_y = y_train_folds[i]\n",
    "        classifier.train(train_x, train_y)\n",
    "        y_test_pred = classifier.predict(val_x, k=k, num_loops=0)\n",
    "        num_correct = np.sum(y_test_pred == val_y)\n",
    "        accuracy = float(num_correct) / len(val_y)\n",
    "        k_to_accuracies[k].append(accuracy)\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std, fmt='-', capsize=2)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The best k = 10\n",
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = k_choices[(accuracies_mean).argmax()]\n",
    "print('The best k = {0:d}'.format(best_k))\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ 4\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
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    "version": 3
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